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### Running command:
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###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:sccomp.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings sccomp_1.6.0.tar.gz
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* using log directory ‘/Users/biocbuild/bbs-3.18-bioc/meat/sccomp.Rcheck’
* using R version 4.3.3 (2024-02-29)
* using platform: x86_64-apple-darwin20 (64-bit)
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘sccomp/DESCRIPTION’ ... OK
* this is package ‘sccomp’ version ‘1.6.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘sccomp’ can be installed ... OK
* used C++ compiler: ‘Apple clang version 14.0.0 (clang-1400.0.29.202)’
* used SDK: ‘MacOSX11.3.sdk’
* checking C++ specification ... OK
  Not all R platforms support C++17
* checking installed package size ... NOTE
  installed size is  7.5Mb
  sub-directories of 1Mb or more:
    data   1.1Mb
    libs   4.9Mb
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
alpha_to_CI: no visible binding for global variable ‘M’
alpha_to_CI: no visible binding for global variable ‘C_name’
alpha_to_CI: no visible binding for global variable ‘.lower’
alpha_to_CI: no visible binding for global variable ‘.median’
alpha_to_CI: no visible binding for global variable ‘.upper’
as_matrix: no visible binding for global variable ‘variable’
beta_to_CI: no visible binding for global variable ‘M’
beta_to_CI: no visible binding for global variable ‘C_name’
beta_to_CI: no visible binding for global variable ‘.lower’
beta_to_CI: no visible binding for global variable ‘.median’
beta_to_CI: no visible binding for global variable ‘.upper’
check_if_within_posterior: no visible binding for global variable
  ‘.lower’
check_if_within_posterior: no visible binding for global variable
  ‘.upper’
check_if_within_posterior: no visible binding for global variable ‘ppc’
check_random_intercept_design: no visible binding for global variable
  ‘factors’
check_random_intercept_design: no visible binding for global variable
  ‘groupings’
contrasts_to_enquos: no visible binding for global variable ‘.’
data_simulation_to_model_input: no visible binding for global variable
  ‘.’
data_spread_to_model_input: no visible global function definition for
  ‘as.formula’
data_spread_to_model_input: no visible binding for global variable
  ‘exposure’
data_spread_to_model_input: no visible binding for global variable
  ‘design’
data_spread_to_model_input: no visible binding for global variable
  ‘mat’
data_spread_to_model_input: no visible binding for global variable
  ‘is_factor_continuous’
data_spread_to_model_input: no visible binding for global variable
  ‘design_matrix’
data_spread_to_model_input: no visible binding for global variable ‘.’
data_spread_to_model_input: no visible binding for global variable
  ‘minus_sum’
data_spread_to_model_input: no visible binding for global variable
  ‘mean_idx’
data_spread_to_model_input: no visible binding for global variable
  ‘group___numeric’
data_spread_to_model_input: no visible binding for global variable
  ‘idx’
data_spread_to_model_input: no visible binding for global variable
  ‘group___label’
data_spread_to_model_input: no visible binding for global variable
  ‘parameter’
data_spread_to_model_input: no visible binding for global variable
  ‘design_matrix_col’
data_to_spread: no visible binding for global variable ‘exposure’
design_matrix_and_coefficients_to_dir_mult_simulation: no visible
  binding for global variable ‘cell_type’
design_matrix_and_coefficients_to_dir_mult_simulation: no visible
  binding for global variable ‘generated_counts’
design_matrix_and_coefficients_to_dir_mult_simulation: no visible
  binding for global variable ‘factor_1’
design_matrix_and_coefficients_to_simulation: no visible binding for
  global variable ‘cell_type’
design_matrix_and_coefficients_to_simulation: no visible binding for
  global variable ‘beta_1’
design_matrix_and_coefficients_to_simulation: no visible binding for
  global variable ‘beta_2’
dirichlet_multinomial_glm: no visible global function definition for
  ‘detect_cores’
dirichlet_multinomial_glm: no visible binding for global variable
  ‘glm_dirichlet_multinomial’
dirichlet_multinomial_glm: no visible binding for global variable
  ‘censoring_iteration’
dirichlet_multinomial_glm: no visible binding for global variable ‘.’
dirichlet_multinomial_glm: no visible binding for global variable
  ‘chains’
dirichlet_multinomial_glm: no visible binding for global variable
  ‘precision’
dirichlet_multinomial_glm: no visible binding for global variable ‘M’
do_inference_imputation: no visible binding for global variable
  ‘glm_dirichlet_multinomial_imputation’
draws_to_statistics: no visible binding for global variable ‘M’
draws_to_statistics: no visible binding for global variable ‘parameter’
draws_to_statistics: no visible binding for global variable
  ‘bigger_zero’
draws_to_statistics: no visible binding for global variable
  ‘smaller_zero’
draws_to_statistics: no visible binding for global variable ‘lower’
draws_to_statistics: no visible binding for global variable ‘effect’
draws_to_statistics: no visible binding for global variable ‘upper’
draws_to_statistics: no visible binding for global variable ‘pH0’
draws_to_statistics: no visible binding for global variable ‘FDR’
draws_to_statistics: no visible binding for global variable ‘n_eff’
draws_to_statistics: no visible binding for global variable ‘R_k_hat’
draws_to_tibble_x: no visible binding for global variable ‘.’
draws_to_tibble_x: no visible binding for global variable ‘dummy’
draws_to_tibble_x: no visible binding for global variable ‘.variable’
draws_to_tibble_x: no visible binding for global variable ‘.chain’
draws_to_tibble_x: no visible binding for global variable ‘.iteration’
draws_to_tibble_x: no visible binding for global variable ‘.draw’
draws_to_tibble_x: no visible binding for global variable ‘.value’
draws_to_tibble_x_y: no visible binding for global variable ‘.’
draws_to_tibble_x_y: no visible binding for global variable ‘dummy’
draws_to_tibble_x_y: no visible binding for global variable ‘.variable’
draws_to_tibble_x_y: no visible binding for global variable ‘.chain’
draws_to_tibble_x_y: no visible binding for global variable
  ‘.iteration’
draws_to_tibble_x_y: no visible binding for global variable ‘.draw’
draws_to_tibble_x_y: no visible binding for global variable ‘.value’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘N’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘M’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘5%’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘95%’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘truncation_up’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘truncation_down’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘.lower’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘.’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘50%’
estimate_multi_beta_binomial_glm: no visible binding for global
  variable ‘.upper’
find_optimal_number_of_chains: no visible binding for global variable
  ‘chains’
find_optimal_number_of_chains: no visible binding for global variable
  ‘.’
fit_and_generate_quantities: no visible binding for global variable ‘N’
fit_and_generate_quantities: no visible binding for global variable ‘M’
fit_and_generate_quantities: no visible binding for global variable
  ‘precision’
fit_model: no visible binding for global variable ‘.’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘N’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘M’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘cores’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘additional_parameters_to_save’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘pass_fit’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘tol_rel_obj’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘glm_dirichlet_multinomial_generate_quantities’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.draw’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.chain’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.iteration’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.draw_imputation’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.variable’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘fit_list’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘n_eff’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘se_mean’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘sd’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘C_name’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.lower’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.median’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘.upper’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘5%’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘95%’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘50%’
fit_model_and_parse_out_missing_data: no visible binding for global
  variable ‘precision’
fit_model_and_parse_out_no_missing_data: no visible binding for global
  variable ‘glm_dirichlet_multinomial_generate_quantities’
fit_to_counts_rng: no visible binding for global variable ‘.variable’
fit_to_counts_rng: no visible binding for global variable ‘S’
fit_to_counts_rng: no visible binding for global variable ‘G’
fit_to_counts_rng: no visible binding for global variable ‘.’
generate_quantities: no visible binding for global variable ‘N_M’
generate_quantities: no visible binding for global variable
  ‘generated_quantity’
generate_quantities: no visible binding for global variable ‘draw’
generate_quantities: no visible binding for global variable ‘N’
generate_quantities: no visible binding for global variable ‘M’
get_FDR: no visible binding for global variable ‘value’
get_FDR: no visible binding for global variable ‘name’
get_FDR: no visible binding for global variable ‘FDR’
get_abundance_contrast_draws: no visible binding for global variable
  ‘X’
get_abundance_contrast_draws: no visible binding for global variable
  ‘.value’
get_abundance_contrast_draws: no visible binding for global variable
  ‘.’
get_abundance_contrast_draws: no visible binding for global variable
  ‘N_random_intercepts’
get_abundance_contrast_draws: no visible binding for global variable
  ‘X_random_intercept’
get_abundance_contrast_draws: no visible binding for global variable
  ‘.variable’
get_abundance_contrast_draws: no visible binding for global variable
  ‘y’
get_abundance_contrast_draws: no visible binding for global variable
  ‘M’
get_abundance_contrast_draws: no visible binding for global variable
  ‘parameter’
get_abundance_contrast_draws: no visible binding for global variable
  ‘n_eff’
get_abundance_contrast_draws: no visible binding for global variable
  ‘R_k_hat’
get_design_matrix: no visible binding for global variable ‘.’
get_mean_precision: no visible binding for global variable ‘M’
get_mean_precision: no visible binding for global variable ‘2.5%’
get_mean_precision: no visible binding for global variable ‘97.5%’
get_mean_precision_association: no visible binding for global variable
  ‘.’
get_probability_non_zero: no visible binding for global variable ‘M’
get_probability_non_zero: no visible binding for global variable
  ‘C_name’
get_probability_non_zero: no visible binding for global variable
  ‘bigger_zero’
get_probability_non_zero: no visible binding for global variable
  ‘smaller_zero’
get_probability_non_zero_OLD: no visible binding for global variable
  ‘.’
get_probability_non_zero_OLD: no visible binding for global variable
  ‘.draw’
get_probability_non_zero_OLD: no visible binding for global variable
  ‘M’
get_probability_non_zero_OLD: no visible binding for global variable
  ‘C_name’
get_probability_non_zero_OLD: no visible binding for global variable
  ‘bigger_zero’
get_probability_non_zero_OLD: no visible binding for global variable
  ‘smaller_zero’
get_random_intercept_design: no visible binding for global variable
  ‘is_factor_continuous’
get_random_intercept_design: no visible binding for global variable
  ‘design’
get_random_intercept_design: no visible binding for global variable
  ‘max_mean_idx’
get_random_intercept_design: no visible binding for global variable
  ‘max_minus_sum’
get_random_intercept_design: no visible binding for global variable
  ‘max_factor_numeric’
get_random_intercept_design: no visible binding for global variable
  ‘max_group_numeric’
get_random_intercept_design: no visible binding for global variable
  ‘min_mean_idx’
get_random_intercept_design: no visible binding for global variable
  ‘min_minus_sum’
get_variability_contrast_draws: no visible binding for global variable
  ‘XA’
get_variability_contrast_draws: no visible binding for global variable
  ‘.value’
get_variability_contrast_draws: no visible binding for global variable
  ‘.’
get_variability_contrast_draws: no visible binding for global variable
  ‘.variable’
get_variability_contrast_draws: no visible binding for global variable
  ‘y’
get_variability_contrast_draws: no visible binding for global variable
  ‘M’
get_variability_contrast_draws: no visible binding for global variable
  ‘parameter’
get_variability_contrast_draws: no visible binding for global variable
  ‘n_eff’
get_variability_contrast_draws: no visible binding for global variable
  ‘R_k_hat’
glm_multi_beta: no visible binding for global variable ‘.’
label_deleterious_outliers: no visible binding for global variable
  ‘.count’
label_deleterious_outliers: no visible binding for global variable
  ‘95%’
label_deleterious_outliers: no visible binding for global variable ‘5%’
label_deleterious_outliers: no visible binding for global variable ‘X’
label_deleterious_outliers: no visible binding for global variable
  ‘iteration’
label_deleterious_outliers: no visible binding for global variable
  ‘outlier_above’
label_deleterious_outliers: no visible binding for global variable
  ‘slope’
label_deleterious_outliers: no visible binding for global variable
  ‘is_group_right’
label_deleterious_outliers: no visible binding for global variable
  ‘outlier_below’
multi_beta_glm: no visible global function definition for
  ‘detect_cores’
parse_fit: no visible binding for global variable ‘M’
parse_formula: no visible global function definition for ‘terms’
parse_formula: no visible binding for global variable ‘.’
parse_formula_random_intercept: no visible global function definition
  for ‘terms’
parse_generated_quantities: no visible binding for global variable
  ‘.draw’
parse_generated_quantities: no visible binding for global variable ‘N’
parse_generated_quantities: no visible binding for global variable
  ‘.value’
parse_generated_quantities: no visible binding for global variable
  ‘generated_counts’
parse_generated_quantities: no visible binding for global variable ‘M’
parse_generated_quantities: no visible binding for global variable
  ‘generated_proportions’
plot_1d_intervals: no visible binding for global variable ‘parameter’
plot_1d_intervals: no visible binding for global variable ‘estimate’
plot_1d_intervals: no visible binding for global variable ‘value’
plot_2d_intervals: no visible binding for global variable ‘v_effect’
plot_2d_intervals: no visible binding for global variable ‘parameter’
plot_2d_intervals: no visible binding for global variable ‘.’
plot_2d_intervals: no visible binding for global variable ‘c_effect’
plot_2d_intervals: no visible binding for global variable ‘c_lower’
plot_2d_intervals: no visible binding for global variable ‘c_upper’
plot_2d_intervals: no visible binding for global variable ‘c_FDR’
plot_2d_intervals: no visible binding for global variable ‘v_lower’
plot_2d_intervals: no visible binding for global variable ‘v_upper’
plot_2d_intervals: no visible binding for global variable ‘v_FDR’
plot_2d_intervals: no visible binding for global variable
  ‘cell_type_label’
plot_boxplot: no visible binding for global variable ‘stats_name’
plot_boxplot: no visible binding for global variable ‘parameter’
plot_boxplot: no visible binding for global variable ‘stats_value’
plot_boxplot: no visible binding for global variable ‘count_data’
plot_boxplot: no visible binding for global variable
  ‘generated_proportions’
plot_boxplot: no visible binding for global variable ‘proportion’
plot_boxplot: no visible binding for global variable ‘name’
plot_boxplot: no visible binding for global variable ‘outlier’
plot_summary: no visible binding for global variable ‘parameter’
plot_summary: no visible binding for global variable ‘count_data’
plot_summary: no visible binding for global variable ‘v_effect’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘proportion_mean’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘y’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘observed_proportion’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘logit_residuals’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘exposure’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘adjusted_proportion’
remove_unwanted_variation.data.frame: no visible binding for global
  variable ‘adjusted_counts’
replicate_data: no visible binding for global variable ‘count_data’
replicate_data: no visible binding for global variable ‘exposure’
replicate_data: no visible global function definition for ‘tail’
replicate_data: no visible global function definition for ‘as.formula’
replicate_data: no visible binding for global variable ‘.’
replicate_data: no visible global function definition for ‘na.omit’
replicate_data: no visible binding for global variable ‘Xa’
replicate_data: no visible binding for global variable
  ‘intercept_in_design’
replicate_data: no visible binding for global variable ‘design’
replicate_data: no visible binding for global variable
  ‘is_factor_continuous’
replicate_data: no visible binding for global variable ‘design_matrix’
replicate_data: no visible binding for global variable
  ‘X_random_intercept’
sccomp_predict.data.frame: no visible binding for global variable
  ‘count_data’
sccomp_predict.data.frame: no visible binding for global variable ‘M’
sccomp_predict.data.frame: no visible binding for global variable ‘N’
sccomp_predict.data.frame: no visible binding for global variable
  ‘2.5%’
sccomp_predict.data.frame: no visible binding for global variable
  ‘97.5%’
sccomp_replicate.data.frame: no visible binding for global variable ‘N’
sccomp_replicate.data.frame: no visible binding for global variable ‘M’
simulate_data.data.frame: no visible binding for global variable
  ‘data___’
simulate_data.data.frame: no visible binding for global variable
  ‘.exposure’
simulate_data.data.frame: no visible binding for global variable ‘N’
simulate_data.data.frame: no visible binding for global variable ‘M’
simulate_multinomial_logit_linear: no visible global function
  definition for ‘rnorm’
summary_to_tibble: no visible binding for global variable ‘.’
summary_to_tibble: no visible binding for global variable ‘.variable’
test_contrasts.data.frame: no visible binding for global variable
  ‘design_matrix_col’
test_contrasts.data.frame: no visible binding for global variable
  ‘parameter’
test_contrasts.data.frame: no visible binding for global variable ‘M’
test_contrasts.data.frame: no visible binding for global variable ‘N’
test_contrasts.data.frame: no visible binding for global variable
  ‘.variable’
test_contrasts.data.frame: no visible binding for global variable
  ‘se_mean’
test_contrasts.data.frame: no visible binding for global variable ‘sd’
test_contrasts.data.frame: no visible binding for global variable
  ‘n_eff’
Undefined global functions or variables:
  . .chain .count .draw .draw_imputation .exposure .iteration .lower
  .median .upper .value .variable 2.5% 5% 50% 95% 97.5% C_name FDR G M
  N N_M N_random_intercepts R_k_hat S X XA X_random_intercept Xa
  additional_parameters_to_save adjusted_counts adjusted_proportion
  as.formula beta_1 beta_2 bigger_zero c_FDR c_effect c_lower c_upper
  cell_type cell_type_label censoring_iteration chains cores count_data
  data___ design design_matrix design_matrix_col detect_cores draw
  dummy effect estimate exposure factor_1 factors fit_list
  generated_counts generated_proportions generated_quantity
  glm_dirichlet_multinomial
  glm_dirichlet_multinomial_generate_quantities
  glm_dirichlet_multinomial_imputation group___label group___numeric
  groupings idx intercept_in_design is_factor_continuous is_group_right
  iteration logit_residuals lower mat max_factor_numeric
  max_group_numeric max_mean_idx max_minus_sum mean_idx min_mean_idx
  min_minus_sum minus_sum n_eff na.omit name observed_proportion
  outlier outlier_above outlier_below pH0 parameter pass_fit ppc
  precision proportion proportion_mean rnorm sd se_mean slope
  smaller_zero stats_name stats_value tail terms tol_rel_obj
  truncation_down truncation_up upper v_FDR v_effect v_lower v_upper
  value variable y
Consider adding
  importFrom("stats", "as.formula", "na.omit", "rnorm", "sd", "terms")
  importFrom("utils", "tail")
to your NAMESPACE file.
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in shell scripts ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... NOTE
GNU make is a SystemRequirements.
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking compiled code ... NOTE
Note: information on .o files is not available
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                            user system elapsed
test_contrasts            48.410  0.874  59.517
sccomp_glm                47.013  1.139  70.961
remove_unwanted_variation 29.583  1.692  48.149
simulate_data             27.720  1.532  38.888
sccomp_predict            25.301  1.420  34.262
plot_summary              23.707  1.638  35.065
sccomp_replicate          21.685  1.465  31.496
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 4 NOTEs
See
  ‘/Users/biocbuild/bbs-3.18-bioc/meat/sccomp.Rcheck/00check.log’
for details.

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###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL sccomp
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* installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library’
* installing *source* package ‘sccomp’ ...
** using staged installation
** libs
using C++ compiler: ‘Apple clang version 14.0.0 (clang-1400.0.29.202)’
using C++17
using SDK: ‘MacOSX11.3.sdk’


clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"../inst/include" -I"/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/Rcpp/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppEigen/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include' -I/opt/R/x86_64/include    -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS   -fPIC  -falign-functions=64 -Wall -g -O2  -c RcppExports.cpp -o RcppExports.o


clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"../inst/include" -I"/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/Rcpp/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppEigen/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include' -I/opt/R/x86_64/include    -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS   -fPIC  -falign-functions=64 -Wall -g -O2  -c stanExports_glm_multi_beta_binomial.cc -o stanExports_glm_multi_beta_binomial.o
In file included from stanExports_glm_multi_beta_binomial.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:21:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/io/r_ostream.hpp:47:31: warning: 'rstan::io::r_cout_streambuf::xsputn' hides overloaded virtual function [-Woverloaded-virtual]
      virtual std::streamsize xsputn(const char_type* s, int n) {
                              ^
/Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk/usr/include/c++/v1/streambuf:291:24: note: hidden overloaded virtual function 'std::basic_streambuf<char>::xsputn' declared here: type mismatch at 2nd parameter ('std::streamsize' (aka 'long') vs 'int')
    virtual streamsize xsputn(const char_type* __s, streamsize __n);
                       ^
In file included from stanExports_glm_multi_beta_binomial.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:21:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/io/r_ostream.hpp:70:31: warning: 'rstan::io::r_cerr_streambuf::xsputn' hides overloaded virtual function [-Woverloaded-virtual]
      virtual std::streamsize xsputn(const char_type* s, int n) {
                              ^
/Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk/usr/include/c++/v1/streambuf:291:24: note: hidden overloaded virtual function 'std::basic_streambuf<char>::xsputn' declared here: type mismatch at 2nd parameter ('std::streamsize' (aka 'long') vs 'int')
    virtual streamsize xsputn(const char_type* __s, streamsize __n);
                       ^
In file included from stanExports_glm_multi_beta_binomial.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:43:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src/stan/io/dump.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim.hpp:14:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun.hpp:35:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/binomial_coefficient_log.hpp:13:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/partials_propagator.hpp:8:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/operands_and_partials.hpp:57:1: warning: 'ops_partials_edge' defined as a struct template here but previously declared as a class template; this is valid, but may result in linker errors under the Microsoft C++ ABI [-Wmismatched-tags]
struct ops_partials_edge<ViewElt, Op, require_st_arithmetic<Op>> {
^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/operands_and_partials.hpp:45:1: note: did you mean struct here?
class ops_partials_edge;
^~~~~
struct
In file included from stanExports_glm_multi_beta_binomial.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
    int ret = stan::services::error_codes::CONFIG;
        ^
In file included from stanExports_glm_multi_beta_binomial.cc:5:
./stanExports_glm_multi_beta_binomial.h:2286:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable]
      int pos__ = std::numeric_limits<int>::min();
          ^
In file included from stanExports_glm_multi_beta_binomial.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:43:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src/stan/io/dump.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim.hpp:14:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun.hpp:46:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/choose.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/binomial.hpp:15:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/beta.hpp:1721:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable]
      const T x_extrema = 1 / (1 + a);
              ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: note: in instantiation of member function 'boost::math::detail::temme_root_finder<double>::temme_root_finder' requested here
      temme_root_finder<T>(-lu, alpha), x, lower, upper, policies::digits<T, Policy>() / 2);
      ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:20: note: in instantiation of function template specialization 'boost::math::detail::temme_method_2_ibeta_inverse<double, boost::math::policies::policy<boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_float<false>, boost::math::policies::promote_double<false>>>' requested here
               x = temme_method_2_ibeta_inverse(a, b, p, r, theta, pol);
                   ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:17: note: in instantiation of function template specialization 'boost::math::detail::ibeta_inv_imp<double, boost::math::policies::policy<boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_float<false>, boost::math::policies::promote_double<false>>>' requested here
   rx = detail::ibeta_inv_imp(
                ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:11: note: in instantiation of function template specialization 'boost::math::ibeta_inv<double, double, double, double, boost::math::policies::policy<boost::math::policies::overflow_error<boost::math::policies::errno_on_error>, boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_double<false>, boost::math::policies::digits2<0>>>' requested here
   return ibeta_inv(a, b, p, static_cast<result_type*>(nullptr), pol);
          ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:23: note: in instantiation of function template specialization 'boost::math::ibeta_inv<double, double, double, boost::math::policies::policy<boost::math::policies::overflow_error<boost::math::policies::errno_on_error>, boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_double<false>, boost::math::policies::digits2<0>>>' requested here
  return boost::math::ibeta_inv(a, b, p, boost_policy_t<>());
                      ^
6 warnings generated.


clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"../inst/include" -I"/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/Rcpp/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppEigen/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include' -I/opt/R/x86_64/include    -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS   -fPIC  -falign-functions=64 -Wall -g -O2  -c stanExports_glm_multi_beta_binomial_generate_date.cc -o stanExports_glm_multi_beta_binomial_generate_date.o
In file included from stanExports_glm_multi_beta_binomial_generate_date.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_generate_date.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:21:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/io/r_ostream.hpp:47:31: warning: 'rstan::io::r_cout_streambuf::xsputn' hides overloaded virtual function [-Woverloaded-virtual]
      virtual std::streamsize xsputn(const char_type* s, int n) {
                              ^
/Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk/usr/include/c++/v1/streambuf:291:24: note: hidden overloaded virtual function 'std::basic_streambuf<char>::xsputn' declared here: type mismatch at 2nd parameter ('std::streamsize' (aka 'long') vs 'int')
    virtual streamsize xsputn(const char_type* __s, streamsize __n);
                       ^
In file included from stanExports_glm_multi_beta_binomial_generate_date.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_generate_date.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:21:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/io/r_ostream.hpp:70:31: warning: 'rstan::io::r_cerr_streambuf::xsputn' hides overloaded virtual function [-Woverloaded-virtual]
      virtual std::streamsize xsputn(const char_type* s, int n) {
                              ^
/Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk/usr/include/c++/v1/streambuf:291:24: note: hidden overloaded virtual function 'std::basic_streambuf<char>::xsputn' declared here: type mismatch at 2nd parameter ('std::streamsize' (aka 'long') vs 'int')
    virtual streamsize xsputn(const char_type* __s, streamsize __n);
                       ^
In file included from stanExports_glm_multi_beta_binomial_generate_date.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_generate_date.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:43:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src/stan/io/dump.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim.hpp:14:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun.hpp:35:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/binomial_coefficient_log.hpp:13:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/partials_propagator.hpp:8:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/operands_and_partials.hpp:57:1: warning: 'ops_partials_edge' defined as a struct template here but previously declared as a class template; this is valid, but may result in linker errors under the Microsoft C++ ABI [-Wmismatched-tags]
struct ops_partials_edge<ViewElt, Op, require_st_arithmetic<Op>> {
^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/operands_and_partials.hpp:45:1: note: did you mean struct here?
class ops_partials_edge;
^~~~~
struct
In file included from stanExports_glm_multi_beta_binomial_generate_date.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_generate_date.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
    int ret = stan::services::error_codes::CONFIG;
        ^
In file included from stanExports_glm_multi_beta_binomial_generate_date.cc:5:
./stanExports_glm_multi_beta_binomial_generate_date.h:566:20: warning: unused variable 'jacobian__' [-Wunused-variable]
    constexpr bool jacobian__ = false;
                   ^
./stanExports_glm_multi_beta_binomial_generate_date.h:784:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable]
      int pos__ = std::numeric_limits<int>::min();
          ^
In file included from stanExports_glm_multi_beta_binomial_generate_date.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_generate_date.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:43:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src/stan/io/dump.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim.hpp:14:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun.hpp:46:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/choose.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/binomial.hpp:15:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/beta.hpp:1721:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable]
      const T x_extrema = 1 / (1 + a);
              ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: note: in instantiation of member function 'boost::math::detail::temme_root_finder<double>::temme_root_finder' requested here
      temme_root_finder<T>(-lu, alpha), x, lower, upper, policies::digits<T, Policy>() / 2);
      ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:20: note: in instantiation of function template specialization 'boost::math::detail::temme_method_2_ibeta_inverse<double, boost::math::policies::policy<boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_float<false>, boost::math::policies::promote_double<false>>>' requested here
               x = temme_method_2_ibeta_inverse(a, b, p, r, theta, pol);
                   ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:17: note: in instantiation of function template specialization 'boost::math::detail::ibeta_inv_imp<double, boost::math::policies::policy<boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_float<false>, boost::math::policies::promote_double<false>>>' requested here
   rx = detail::ibeta_inv_imp(
                ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:11: note: in instantiation of function template specialization 'boost::math::ibeta_inv<double, double, double, double, boost::math::policies::policy<boost::math::policies::overflow_error<boost::math::policies::errno_on_error>, boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_double<false>, boost::math::policies::digits2<0>>>' requested here
   return ibeta_inv(a, b, p, static_cast<result_type*>(nullptr), pol);
          ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:23: note: in instantiation of function template specialization 'boost::math::ibeta_inv<double, double, double, boost::math::policies::policy<boost::math::policies::overflow_error<boost::math::policies::errno_on_error>, boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_double<false>, boost::math::policies::digits2<0>>>' requested here
  return boost::math::ibeta_inv(a, b, p, boost_policy_t<>());
                      ^
7 warnings generated.


clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I"../inst/include" -I"/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/Rcpp/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppEigen/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include' -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include' -I/opt/R/x86_64/include    -I'/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS   -fPIC  -falign-functions=64 -Wall -g -O2  -c stanExports_glm_multi_beta_binomial_simulate_data.cc -o stanExports_glm_multi_beta_binomial_simulate_data.o
In file included from stanExports_glm_multi_beta_binomial_simulate_data.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_simulate_data.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:21:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/io/r_ostream.hpp:47:31: warning: 'rstan::io::r_cout_streambuf::xsputn' hides overloaded virtual function [-Woverloaded-virtual]
      virtual std::streamsize xsputn(const char_type* s, int n) {
                              ^
/Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk/usr/include/c++/v1/streambuf:291:24: note: hidden overloaded virtual function 'std::basic_streambuf<char>::xsputn' declared here: type mismatch at 2nd parameter ('std::streamsize' (aka 'long') vs 'int')
    virtual streamsize xsputn(const char_type* __s, streamsize __n);
                       ^
In file included from stanExports_glm_multi_beta_binomial_simulate_data.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_simulate_data.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:21:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/io/r_ostream.hpp:70:31: warning: 'rstan::io::r_cerr_streambuf::xsputn' hides overloaded virtual function [-Woverloaded-virtual]
      virtual std::streamsize xsputn(const char_type* s, int n) {
                              ^
/Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk/usr/include/c++/v1/streambuf:291:24: note: hidden overloaded virtual function 'std::basic_streambuf<char>::xsputn' declared here: type mismatch at 2nd parameter ('std::streamsize' (aka 'long') vs 'int')
    virtual streamsize xsputn(const char_type* __s, streamsize __n);
                       ^
In file included from stanExports_glm_multi_beta_binomial_simulate_data.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_simulate_data.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:43:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src/stan/io/dump.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim.hpp:14:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun.hpp:35:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/binomial_coefficient_log.hpp:13:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/partials_propagator.hpp:8:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/operands_and_partials.hpp:57:1: warning: 'ops_partials_edge' defined as a struct template here but previously declared as a class template; this is valid, but may result in linker errors under the Microsoft C++ ABI [-Wmismatched-tags]
struct ops_partials_edge<ViewElt, Op, require_st_arithmetic<Op>> {
^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/functor/operands_and_partials.hpp:45:1: note: did you mean struct here?
class ops_partials_edge;
^~~~~
struct
In file included from stanExports_glm_multi_beta_binomial_simulate_data.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_simulate_data.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:1252:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
    int ret = stan::services::error_codes::CONFIG;
        ^
In file included from stanExports_glm_multi_beta_binomial_simulate_data.cc:5:
./stanExports_glm_multi_beta_binomial_simulate_data.h:534:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable]
      int pos__ = std::numeric_limits<int>::min();
          ^
./stanExports_glm_multi_beta_binomial_simulate_data.h:568:11: warning: variable 'pos__' set but not used [-Wunused-but-set-variable]
      int pos__ = std::numeric_limits<int>::min();
          ^
In file included from stanExports_glm_multi_beta_binomial_simulate_data.cc:5:
In file included from ./stanExports_glm_multi_beta_binomial_simulate_data.h:23:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/rstaninc.hpp:4:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/rstan/include/rstan/stan_fit.hpp:43:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/src/stan/io/dump.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim.hpp:14:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun.hpp:46:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/choose.hpp:7:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/binomial.hpp:15:
In file included from /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/beta.hpp:1721:
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable 'x_extrema' [-Wunused-variable]
      const T x_extrema = 1 / (1 + a);
              ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: note: in instantiation of member function 'boost::math::detail::temme_root_finder<double>::temme_root_finder' requested here
      temme_root_finder<T>(-lu, alpha), x, lower, upper, policies::digits<T, Policy>() / 2);
      ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:20: note: in instantiation of function template specialization 'boost::math::detail::temme_method_2_ibeta_inverse<double, boost::math::policies::policy<boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_float<false>, boost::math::policies::promote_double<false>>>' requested here
               x = temme_method_2_ibeta_inverse(a, b, p, r, theta, pol);
                   ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:17: note: in instantiation of function template specialization 'boost::math::detail::ibeta_inv_imp<double, boost::math::policies::policy<boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_float<false>, boost::math::policies::promote_double<false>>>' requested here
   rx = detail::ibeta_inv_imp(
                ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:11: note: in instantiation of function template specialization 'boost::math::ibeta_inv<double, double, double, double, boost::math::policies::policy<boost::math::policies::overflow_error<boost::math::policies::errno_on_error>, boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_double<false>, boost::math::policies::digits2<0>>>' requested here
   return ibeta_inv(a, b, p, static_cast<result_type*>(nullptr), pol);
          ^
/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:23: note: in instantiation of function template specialization 'boost::math::ibeta_inv<double, double, double, boost::math::policies::policy<boost::math::policies::overflow_error<boost::math::policies::errno_on_error>, boost::math::policies::pole_error<boost::math::policies::errno_on_error>, boost::math::policies::promote_double<false>, boost::math::policies::digits2<0>>>' requested here
  return boost::math::ibeta_inv(a, b, p, boost_policy_t<>());
                      ^
7 warnings generated.
clang++ -arch x86_64 -std=gnu++17 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -L/Library/Frameworks/R.framework/Resources/lib -L/opt/R/x86_64/lib -o sccomp.so RcppExports.o stanExports_glm_multi_beta_binomial.o stanExports_glm_multi_beta_binomial_generate_date.o stanExports_glm_multi_beta_binomial_simulate_data.o -L/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/lib/ -Wl,-rpath,/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/RcppParallel/lib/ -ltbb -ltbbmalloc -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
installing to /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/00LOCK-sccomp/00new/sccomp/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (sccomp)

R version 4.3.3 (2024-02-29) -- "Angel Food Cake"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(sccomp)
> 
> test_check("sccomp")

Attaching package: 'dplyr'

The following object is masked from 'package:testthat':

    matches

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: estimation
sccomp says: the composition design matrix has columns: typecancer, typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: The QR deconposition resulted in extreme values, probably for the correlation structure of your design matrix. Omitting QR decomposition.
sccomp says: outlier identification first pass - step 1/3
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
Chain 1: ------------------------------------------------------------
Chain 1: EXPERIMENTAL ALGORITHM:
Chain 1:   This procedure has not been thoroughly tested and may be unstable
Chain 1:   or buggy. The interface is subject to change.
Chain 1: ------------------------------------------------------------
Chain 1: 
Chain 1: 
Chain 1: 
Chain 1: Gradient evaluation took 0.000454 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.54 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: Begin eta adaptation.
Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
Chain 1: Success! Found best value [eta = 1] earlier than expected.
Chain 1: 
Chain 1: Begin stochastic gradient ascent.
Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
Chain 1:    100        -3376.709             1.000            1.000
Chain 1:    200        -3159.175             0.534            1.000
Chain 1:    300        -3153.584             0.357            0.069
Chain 1:    400        -3148.099             0.268            0.069
Chain 1:    500        -3148.407             0.214            0.002   MEDIAN ELBO CONVERGED
Chain 1: 
Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
Chain 1: COMPLETED.
sccomp says: outlier identification second pass - step 2/3
Chain 1: ------------------------------------------------------------
Chain 1: EXPERIMENTAL ALGORITHM:
Chain 1:   This procedure has not been thoroughly tested and may be unstable
Chain 1:   or buggy. The interface is subject to change.
Chain 1: ------------------------------------------------------------
Chain 1: 
Chain 1: 
Chain 1: 
Chain 1: Gradient evaluation took 0.000434 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.34 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: Begin eta adaptation.
Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
Chain 1: Success! Found best value [eta = 1] earlier than expected.
Chain 1: 
Chain 1: Begin stochastic gradient ascent.
Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
Chain 1:    100        -3112.585             1.000            1.000
Chain 1:    200        -2850.538             0.546            1.000
Chain 1:    300        -2843.557             0.365            0.092
Chain 1:    400        -2836.372             0.274            0.092
Chain 1:    500        -2836.939             0.219            0.003   MEDIAN ELBO CONVERGED
Chain 1: 
Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
Chain 1: COMPLETED.
sccomp says: outlier-free model fitting - step 3/3
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Chain 1: ------------------------------------------------------------
Chain 1: EXPERIMENTAL ALGORITHM:
Chain 1:   This procedure has not been thoroughly tested and may be unstable
Chain 1:   or buggy. The interface is subject to change.
Chain 1: ------------------------------------------------------------
Chain 1: 
Chain 1: 
Chain 1: 
Chain 1: Gradient evaluation took 0.000452 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.52 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: Begin eta adaptation.
Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
Chain 1: Success! Found best value [eta = 1] earlier than expected.
Chain 1: 
Chain 1: Begin stochastic gradient ascent.
Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
Chain 1:    100        -3199.212             1.000            1.000
Chain 1:    200        -2995.349             0.534            1.000
Chain 1:    300        -2991.547             0.356            0.068
Chain 1:    400        -2985.269             0.268            0.068
Chain 1:    500        -2986.011             0.214            0.002   MEDIAN ELBO CONVERGED
Chain 1: 
Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
Chain 1: COMPLETED.
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: The QR deconposition resulted in extreme values, probably for the correlation structure of your design matrix. Omitting QR decomposition.
sccomp says: estimation
sccomp says: the composition design matrix has columns: typecancer, typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: The QR deconposition resulted in extreme values, probably for the correlation structure of your design matrix. Omitting QR decomposition.
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), continuous_covariate
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: The QR deconposition resulted in extreme values, probably for the correlation structure of your design matrix. Omitting QR decomposition.
sccomp says: estimation
sccomp says: the composition design matrix has columns: typecancer, typehealthy, continuous_covariate
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: The QR deconposition resulted in extreme values, probably for the correlation structure of your design matrix. Omitting QR decomposition.
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: estimation
sccomp says: the composition design matrix has columns: typecancer, typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: estimation
sccomp says: the composition design matrix has columns: typecancer, typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
Loading required package: ttservice

Attaching package: 'ttservice'

The following objects are masked from 'package:dplyr':

    bind_cols, bind_rows

Loading required package: SeuratObject
Loading required package: sp
'SeuratObject' was built under R 4.3.0 but the current version is
4.3.3; it is recomended that you reinstall 'SeuratObject' as the ABI
for R may have changed
'SeuratObject' was built with package 'Matrix' 1.6.3 but the current
version is 1.6.5; it is recomended that you reinstall 'SeuratObject' as
the ABI for 'Matrix' may have changed

Attaching package: 'SeuratObject'

The following object is masked from 'package:base':

    intersect

========================================
tidyseurat version 0.8.0
If you use TIDYSEURAT in published research, please cite:

Mangiola et al. Interfacing Seurat with the R tidy universe. Bioinformatics 2021.

This message can be suppressed by:
  suppressPackageStartupMessages(library(tidyseurat))
  
To restore the Seurat default display use options("restore_Seurat_show" = TRUE) 
========================================


Attaching package: 'tidyseurat'

The following object is masked from 'package:ttservice':

    plot_ly

sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy, batch
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: calculating residuals
sccomp says: regressing out unwanted factors
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept), typehealthy
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
Joining with `by = join_by(cell_group, sample)`
Joining with `by = join_by(cell_group, type)`
Joining with `by = join_by(cell_group, sample)`
Joining with `by = join_by(cell_group, type)`
sccomp says: estimation
sccomp says: the composition design matrix has columns: (Intercept), typehealthy
sccomp says: the variability design matrix has columns: (Intercept)
Joining with `by = join_by(sample)`
Joining with `by = join_by(cell_group)`
[ FAIL 0 | WARN 284 | SKIP 5 | PASS 17 ]

══ Skipped tests (5) ═══════════════════════════════════════════════════════════
• empty test (5): 'test-sccomp_.R:86:1', 'test-sccomp_.R:335:1',
  'test-sccomp_.R:437:1', 'test-sccomp_.R:444:1', 'test-sccomp_.R:451:1'

[ FAIL 0 | WARN 284 | SKIP 5 | PASS 17 ]
> 
> proc.time()
   user  system elapsed 
252.077   7.390 315.646