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This page was generated on 2022-04-13 12:07:17 -0400 (Wed, 13 Apr 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 20.04.4 LTS)x86_644.1.3 (2022-03-10) -- "One Push-Up" 4324
tokay2Windows Server 2012 R2 Standardx644.1.3 (2022-03-10) -- "One Push-Up" 4077
machv2macOS 10.14.6 Mojavex86_644.1.3 (2022-03-10) -- "One Push-Up" 4137
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

CHECK results for SAIGEgds on tokay2


To the developers/maintainers of the SAIGEgds package:
- Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/SAIGEgds.git to
reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information.
- Make sure to use the following settings in order to reproduce any error or warning you see on this page.

raw results

Package 1688/2083HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
SAIGEgds 1.8.1  (landing page)
Xiuwen Zheng
Snapshot Date: 2022-04-12 01:55:07 -0400 (Tue, 12 Apr 2022)
git_url: https://git.bioconductor.org/packages/SAIGEgds
git_branch: RELEASE_3_14
git_last_commit: 13e4275
git_last_commit_date: 2022-03-29 03:49:02 -0400 (Tue, 29 Mar 2022)
nebbiolo2Linux (Ubuntu 20.04.4 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
tokay2Windows Server 2012 R2 Standard / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
machv2macOS 10.14.6 Mojave / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published

Summary

Package: SAIGEgds
Version: 1.8.1
Command: C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:SAIGEgds.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings SAIGEgds_1.8.1.tar.gz
StartedAt: 2022-04-13 02:12:30 -0400 (Wed, 13 Apr 2022)
EndedAt: 2022-04-13 02:16:56 -0400 (Wed, 13 Apr 2022)
EllapsedTime: 265.4 seconds
RetCode: 0
Status:   OK  
CheckDir: SAIGEgds.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:SAIGEgds.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings SAIGEgds_1.8.1.tar.gz
###
##############################################################################
##############################################################################


* using log directory 'C:/Users/biocbuild/bbs-3.14-bioc/meat/SAIGEgds.Rcheck'
* using R version 4.1.3 (2022-03-10)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'SAIGEgds/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'SAIGEgds' version '1.8.1'
* 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 whether package 'SAIGEgds' can be installed ... OK
* checking installed package size ... OK
* 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
* loading checks for arch 'i386'
** 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
* loading checks for arch 'x64'
** 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 ... NOTE
':::' call which should be '::': 'SPAtest:::ScoreTest_wSaddleApprox_NULL_Model'
  See the note in ?`:::` about the use of this operator.
Unexported objects imported by ':::' calls:
  'SPAtest:::ScoreTest_wSaddleApprox_Get_X1' 'SeqArray:::.IsForking'
  'SeqArray:::.NumParallel' 'SeqArray:::.file_split'
  'SeqArray:::.seqGet2bGeno' 'SeqArray:::.seqProgForward'
  'SeqArray:::.seqProgress' 'SeqArray:::process_index'
  See the note in ?`:::` about the use of this operator.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* 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 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 for i386 is not available
Note: information on .o files for x64 is not available
File 'C:/Users/biocbuild/bbs-3.14-bioc/R/library/SAIGEgds/libs/i386/SAIGEgds.dll':
  Found 'abort', possibly from 'abort' (C), 'runtime' (Fortran)
  Found 'exit', possibly from 'exit' (C), 'stop' (Fortran)
  Found 'printf', possibly from 'printf' (C)
File 'C:/Users/biocbuild/bbs-3.14-bioc/R/library/SAIGEgds/libs/x64/SAIGEgds.dll':
  Found 'abort', possibly from 'abort' (C), 'runtime' (Fortran)
  Found 'exit', possibly from 'exit' (C), 'stop' (Fortran)
  Found 'printf', possibly from 'printf' (C)

Compiled code should not call entry points which might terminate R nor
write to stdout/stderr instead of to the console, nor use Fortran I/O
nor system RNGs. The detected symbols are linked into the code but
might come from libraries and not actually be called.

See 'Writing portable packages' in the 'Writing R Extensions' manual.
* checking files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... OK
Examples with CPU (user + system) or elapsed time > 5s
                       user system elapsed
seqGLMM_GxG_spa        6.47   0.01    6.50
seqAssocGLMM_spaACAT_O 5.70   0.06    5.76
seqAssocGLMM_spaACAT_V 5.48   0.08    5.58
SAIGEgds-package       4.83   0.06   12.60
** running examples for arch 'x64' ... OK
Examples with CPU (user + system) or elapsed time > 5s
                       user system elapsed
seqGLMM_GxG_spa        6.22   0.00    6.22
seqAssocGLMM_spaACAT_V 6.11   0.02    6.13
seqAssocGLMM_spaACAT_O 5.47   0.00    5.47
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ...
  Running 'runTests.R'
 OK
** running tests for arch 'x64' ...
  Running 'runTests.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: 3 NOTEs
See
  'C:/Users/biocbuild/bbs-3.14-bioc/meat/SAIGEgds.Rcheck/00check.log'
for details.



Installation output

SAIGEgds.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O http://155.52.207.166/BBS/3.14/bioc/src/contrib/SAIGEgds_1.8.1.tar.gz && rm -rf SAIGEgds.buildbin-libdir && mkdir SAIGEgds.buildbin-libdir && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=SAIGEgds.buildbin-libdir SAIGEgds_1.8.1.tar.gz && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL SAIGEgds_1.8.1.zip && rm SAIGEgds_1.8.1.tar.gz SAIGEgds_1.8.1.zip
###
##############################################################################
##############################################################################


  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
 31 1502k   31  466k    0     0   543k      0  0:00:02 --:--:--  0:00:02  543k
100 1502k  100 1502k    0     0   916k      0  0:00:01  0:00:01 --:--:--  917k

install for i386

* installing *source* package 'SAIGEgds' ...
** using staged installation
** libs
"C:/rtools40/mingw32/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c SPATest.cpp -o SPATest.o
"C:/rtools40/mingw32/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c saige_fitnull.cpp -o saige_fitnull.o
saige_fitnull.cpp: In function 'SEXPREC* saige_store_2b_geno(SEXP, SEXP, SEXP, SEXP, SEXP)':
saige_fitnull.cpp:71:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:71:13: note: in definition of macro 'PARALLEL_FOR'
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp: In function 'SEXPREC* saige_get_sparse(SEXP)':
saige_fitnull.cpp:249:10: warning: comparison of integer expressions of different signedness: 'const size_t' {aka 'const unsigned int'} and 'R_len_t' {aka 'int'} [-Wsign-compare]
  if (num > Rf_length(geno))
      ~~~~^~~~~~~~~~~~~~~~~
saige_fitnull.cpp: In function 'SEXPREC* saige_store_sp_geno(SEXP, SEXP, SEXP, SEXP, SEXP)':
saige_fitnull.cpp:71:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:71:13: note: in definition of macro 'PARALLEL_FOR'
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp: In function 'void get_crossprod_b_grm(const dcolvec&, arma::dvec&)':
saige_fitnull.cpp:75:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:75:13: note: in definition of macro 'PARALLEL_RANGE'
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp: In function 'void get_diag_sigma(const dvec&, const dvec&, arma::dvec&)':
saige_fitnull.cpp:75:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:75:13: note: in definition of macro 'PARALLEL_RANGE'
   const int th_idx = 0;  \
             ^~~~~~
"C:/rtools40/mingw32/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c saige_main.cpp -o saige_main.o
"C:/rtools40/mingw32/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c vectorization.cpp -o vectorization.o
C:/rtools40/mingw32/bin/g++ -shared -s -static-libgcc -o SAIGEgds.dll tmp.def SPATest.o saige_fitnull.o saige_main.o vectorization.o -lm -LC:/Users/BIOCBU~1/BBS-3~1.14-/R/bin/i386 -lRlapack -LC:/Users/BIOCBU~1/BBS-3~1.14-/R/bin/i386 -lRblas -lgfortran -lm -lquadmath -LC:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/lib/i386 -ltbb -ltbbmalloc -lgcc -LC:/extsoft/lib/i386 -LC:/extsoft/lib -LC:/Users/BIOCBU~1/BBS-3~1.14-/R/bin/i386 -lR
installing to C:/Users/biocbuild/bbs-3.14-bioc/meat/SAIGEgds.buildbin-libdir/00LOCK-SAIGEgds/00new/SAIGEgds/libs/i386
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'SAIGEgds'
    finding HTML links ... done
    SAIGEgds-package                        html  
    glmmHeritability                        html  
    pACAT                                   html  
    seqAssocGLMM_SPA                        html  
    finding level-2 HTML links ... done

    seqAssocGLMM_spaACAT_O                  html  
    seqAssocGLMM_spaACAT_V                  html  
    seqAssocGLMM_spaBurden                  html  
    seqFitNullGLMM_SPA                      html  
    seqGLMM_GxG_spa                         html  
    seqSAIGE_LoadPval                       html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path

install for x64

* installing *source* package 'SAIGEgds' ...
** libs
"C:/rtools40/mingw64/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c SPATest.cpp -o SPATest.o
"C:/rtools40/mingw64/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c saige_fitnull.cpp -o saige_fitnull.o
saige_fitnull.cpp: In function 'SEXPREC* saige_store_2b_geno(SEXP, SEXP, SEXP, SEXP, SEXP)':
saige_fitnull.cpp:71:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:71:13: note: in definition of macro 'PARALLEL_FOR'
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp: In function 'SEXPREC* saige_get_sparse(SEXP)':
saige_fitnull.cpp:249:10: warning: comparison of integer expressions of different signedness: 'const size_t' {aka 'const long long unsigned int'} and 'R_len_t' {aka 'int'} [-Wsign-compare]
  if (num > Rf_length(geno))
      ~~~~^~~~~~~~~~~~~~~~~
saige_fitnull.cpp: In function 'SEXPREC* saige_store_sp_geno(SEXP, SEXP, SEXP, SEXP, SEXP)':
saige_fitnull.cpp:71:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:71:13: note: in definition of macro 'PARALLEL_FOR'
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp: In function 'void get_crossprod_b_grm(const dcolvec&, arma::dvec&)':
saige_fitnull.cpp:75:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:75:13: note: in definition of macro 'PARALLEL_RANGE'
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp: In function 'void get_diag_sigma(const dvec&, const dvec&, arma::dvec&)':
saige_fitnull.cpp:75:13: warning: unused variable 'th_idx' [-Wunused-variable]
   const int th_idx = 0;  \
             ^~~~~~
saige_fitnull.cpp:75:13: note: in definition of macro 'PARALLEL_RANGE'
   const int th_idx = 0;  \
             ^~~~~~
"C:/rtools40/mingw64/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c saige_main.cpp -o saige_main.o
"C:/rtools40/mingw64/bin/"g++  -std=gnu++11 -I"C:/Users/BIOCBU~1/BBS-3~1.14-/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppArmadillo/include' -I'C:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/include'   -I"C:/extsoft/include"  -DRCPP_PARALLEL_USE_TBB=0   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c vectorization.cpp -o vectorization.o
C:/rtools40/mingw64/bin/g++ -shared -s -static-libgcc -o SAIGEgds.dll tmp.def SPATest.o saige_fitnull.o saige_main.o vectorization.o -lm -LC:/Users/BIOCBU~1/BBS-3~1.14-/R/bin/x64 -lRlapack -LC:/Users/BIOCBU~1/BBS-3~1.14-/R/bin/x64 -lRblas -lgfortran -lm -lquadmath -LC:/Users/biocbuild/bbs-3.14-bioc/R/library/RcppParallel/lib/x64 -ltbb -ltbbmalloc -lgcc -LC:/extsoft/lib/x64 -LC:/extsoft/lib -LC:/Users/BIOCBU~1/BBS-3~1.14-/R/bin/x64 -lR
installing to C:/Users/biocbuild/bbs-3.14-bioc/meat/SAIGEgds.buildbin-libdir/SAIGEgds/libs/x64
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'SAIGEgds' as SAIGEgds_1.8.1.zip
* DONE (SAIGEgds)
* installing to library 'C:/Users/biocbuild/bbs-3.14-bioc/R/library'
package 'SAIGEgds' successfully unpacked and MD5 sums checked

Tests output

SAIGEgds.Rcheck/tests_i386/runTests.Rout


R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> BiocGenerics:::testPackage("SAIGEgds")
Chromosome 1, # of units: 100
Chromosome 2, # of units: 3
# of units in total: 103
SAIGE ACAT-O analysis (combining burden & ACAT-V):
    # of samples: 1,000
    # of variants in total: 10,000
    # of units: 103
    avg. # of variants per unit: 193.2136
    min # of variants in a unit: 1
    max # of variants in a unit: 200
    sd  # of variants in a unit: 34.06529
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    variant weights: beta(1,1), beta(1,25)
    mac threshold for burden test: 10
    # of processes: 1
Calculating minor allele frequencies (MAF):

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    MAF: avg (0.08934), min (0.00200), max (0.50000), sd (0.12705)
Calculating p-values:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 3s
Done.
SAIGE ACAT-V analysis:
    # of samples: 1,000
    # of variants in total: 10,000
    # of units: 103
    avg. # of variants per unit: 193.2136
    min # of variants in a unit: 1
    max # of variants in a unit: 200
    sd  # of variants in a unit: 34.06529
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    variant weights: beta(1,1), beta(1,25)
    mac threshold for burden test: 10
    # of processes: 1
Calculating minor allele frequencies (MAF):

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    MAF: avg (0.08934), min (0.00200), max (0.50000), sd (0.12705)
Calculating p-values:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 2s
Done.
SAIGE burden analysis:
    # of samples: 1,000
    # of variants in total: 10,000
    # of units: 103
    avg. # of variants per unit: 193.2136
    min # of variants in a unit: 1
    max # of variants in a unit: 200
    sd  # of variants in a unit: 34.06529
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    variant weights: beta(1,1), beta(1,25)
    # of processes: 1
Calculating minor allele frequencies (MAF):

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    MAF: avg (0.08934), min (0.00200), max (0.50000), sd (0.12705)
Calculating p-values:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 3s
Done.
SAIGE association analysis:
Wed Apr 13 02:16:15 2022
Filtering variants:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of selected variants: 9,976
Fit the null model: y ~ x1 + x2 + var(GRM)
    # of samples: 1,000
    # of variants: 9,976
    using 1 thread
Transform on the design matrix with QR decomposition:
    new formula: y ~ x_0 + x_1 + x_2 - 1
Start loading SNP genotypes:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    using 6.4M (sparse matrix)
Binary outcome: y
       y Number Proportion
       0    902      0.902
       1     98      0.098
Initial fixed-effect coefficients:
         x_0        x_1        x_2
    2.520514 -0.7666948 -0.4557928
Initial variance component estimates, tau:
    Sigma_E: 1, Sigma_G: 0.5
Iteration 1:
    tau: (1, 0.4994116)
    fixed coeff: (2.520514, -0.7666948, -0.4557928)
Iteration 2:
    tau: (1, 0.3287896)
    fixed coeff: (2.521231, -0.776603, -0.4592503)
Iteration 3:
    tau: (1, 0.2817812)
    fixed coeff: (2.525954, -0.7738757, -0.4579659)
Iteration 4:
    tau: (1, 0.3211452)
    fixed coeff: (2.525719, -0.7730823, -0.4577413)
Iteration 5:
    tau: (1, 0.3361534)
    fixed coeff: (2.527166, -0.7739766, -0.4579633)
Final tau: (1, 0.3322063)
    fixed coeff: (2.527666, -0.774237, -0.4580237)
Calculate the average ratio of variances:
Wed Apr 13 02:16:20 2022
     1, maf: 0.0775, mac: 155,	ratio: 0.9387 (var1: 0.0736, var2: 0.0785)
     2, maf: 0.0355, mac: 71,	ratio: 0.9362 (var1: 0.0671, var2: 0.0716)
     3, maf: 0.0730, mac: 146,	ratio: 0.9323 (var1: 0.0799, var2: 0.0857)
     4, maf: 0.0160, mac: 32,	ratio: 0.9481 (var1: 0.0653, var2: 0.0689)
     5, maf: 0.0585, mac: 117,	ratio: 0.9382 (var1: 0.0743, var2: 0.0791)
     6, maf: 0.0155, mac: 31,	ratio: 0.9388 (var1: 0.0754, var2: 0.0803)
     7, maf: 0.3075, mac: 615,	ratio: 0.9400 (var1: 0.0521, var2: 0.0554)
     8, maf: 0.0715, mac: 143,	ratio: 0.9416 (var1: 0.0714, var2: 0.0759)
     9, maf: 0.0115, mac: 23,	ratio: 0.9375 (var1: 0.0844, var2: 0.09)
    10, maf: 0.0470, mac: 94,	ratio: 0.9466 (var1: 0.0719, var2: 0.0759)
    11, maf: 0.0310, mac: 62,	ratio: 0.9335 (var1: 0.073, var2: 0.0782)
    12, maf: 0.1340, mac: 268,	ratio: 0.9381 (var1: 0.0633, var2: 0.0675)
    13, maf: 0.0855, mac: 171,	ratio: 0.9412 (var1: 0.0746, var2: 0.0792)
    14, maf: 0.1610, mac: 322,	ratio: 0.9379 (var1: 0.0647, var2: 0.069)
    15, maf: 0.0340, mac: 68,	ratio: 0.9471 (var1: 0.0685, var2: 0.0724)
    16, maf: 0.0215, mac: 43,	ratio: 0.9353 (var1: 0.0805, var2: 0.086)
    17, maf: 0.0600, mac: 120,	ratio: 0.9489 (var1: 0.0707, var2: 0.0745)
    18, maf: 0.0285, mac: 57,	ratio: 0.9455 (var1: 0.0732, var2: 0.0774)
    19, maf: 0.0145, mac: 29,	ratio: 0.9436 (var1: 0.0705, var2: 0.0747)
    20, maf: 0.0130, mac: 26,	ratio: 0.9454 (var1: 0.0688, var2: 0.0728)
    21, maf: 0.1350, mac: 270,	ratio: 0.9422 (var1: 0.0624, var2: 0.0663)
    22, maf: 0.0315, mac: 63,	ratio: 0.9342 (var1: 0.0699, var2: 0.0748)
    23, maf: 0.0475, mac: 95,	ratio: 0.9348 (var1: 0.0737, var2: 0.0788)
    24, maf: 0.2475, mac: 495,	ratio: 0.9360 (var1: 0.06, var2: 0.0641)
    25, maf: 0.0135, mac: 27,	ratio: 0.9523 (var1: 0.0622, var2: 0.0654)
    26, maf: 0.4915, mac: 983,	ratio: 0.9433 (var1: 0.0362, var2: 0.0383)
    27, maf: 0.0525, mac: 105,	ratio: 0.9366 (var1: 0.0734, var2: 0.0783)
    28, maf: 0.0195, mac: 39,	ratio: 0.9421 (var1: 0.0741, var2: 0.0787)
    29, maf: 0.0270, mac: 54,	ratio: 0.9502 (var1: 0.0718, var2: 0.0756)
    30, maf: 0.0380, mac: 76,	ratio: 0.9453 (var1: 0.0733, var2: 0.0776)
    ratio avg. is 0.9410507, sd: 0.005353982
Wed Apr 13 02:16:20 2022
Done.
SAIGE association analysis:
Wed Apr 13 02:16:20 2022
Filtering variants:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of selected variants: 9,976
Fit the null model: yy ~ x1 + x2 + var(GRM)
    # of samples: 1,000
    # of variants: 9,976
    using 1 thread
Transform on the design matrix with QR decomposition:
    new formula: y ~ x_0 + x_1 + x_2 - 1
Start loading SNP genotypes:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    using 6.4M (sparse matrix)
Quantitative outcome: yy
        mean        sd    min    max
    4.987525 0.9817471 1.6383 7.6701
Inverse normal transformation on residuals with standard deviation: 0.981695
Initial fixed-effect coefficients:
              x_0          x_1         x_2
    -7.900429e-17 -0.003167949 0.001143224
Initial variance component estimates, tau:
    Sigma_E: 0.481718, Sigma_G: 0.481718
Iteration 1:
    tau: (0.5780754, 0.4791097)
    fixed coeff: (-7.900429e-17, -0.003167949, 0.001143224)
Iteration 2:
    tau: (0.7700948, 0.1571539)
    fixed coeff: (7.969752e-07, -0.01596609, -0.004398386)
Iteration 3:
    tau: (0.8649753, 0.0670912)
    fixed coeff: (3.558187e-07, -0.01030783, 3.137729e-05)
Iteration 4:
    tau: (0.9159832, 0.02884355)
    fixed coeff: (2.850052e-07, -0.006806145, 0.00088392)
Iteration 5:
    tau: (0.942882, 0)
    fixed coeff: (1.393627e-06, -0.004853796, 0.001081237)
Final tau: (0.9701727, 0)
    fixed coeff: (-6.282204e-17, -0.003167949, 0.001143224)
Calculate the average ratio of variances:
Wed Apr 13 02:16:25 2022
     1, maf: 0.0775, mac: 155,	ratio: 1.0307 (var1: 1.02, var2: 0.985)
     2, maf: 0.0355, mac: 71,	ratio: 1.0307 (var1: 0.955, var2: 0.927)
     3, maf: 0.0730, mac: 146,	ratio: 1.0307 (var1: 1, var2: 0.975)
     4, maf: 0.0160, mac: 32,	ratio: 1.0307 (var1: 0.994, var2: 0.964)
     5, maf: 0.0585, mac: 117,	ratio: 1.0307 (var1: 1.01, var2: 0.984)
     6, maf: 0.0155, mac: 31,	ratio: 1.0307 (var1: 0.998, var2: 0.968)
     7, maf: 0.3075, mac: 615,	ratio: 1.0307 (var1: 0.707, var2: 0.686)
     8, maf: 0.0715, mac: 143,	ratio: 1.0307 (var1: 0.969, var2: 0.94)
     9, maf: 0.0115, mac: 23,	ratio: 1.0307 (var1: 1, var2: 0.974)
    10, maf: 0.0470, mac: 94,	ratio: 1.0307 (var1: 0.999, var2: 0.969)
    11, maf: 0.0310, mac: 62,	ratio: 1.0307 (var1: 0.997, var2: 0.967)
    12, maf: 0.1340, mac: 268,	ratio: 1.0307 (var1: 0.882, var2: 0.855)
    13, maf: 0.0855, mac: 171,	ratio: 1.0307 (var1: 0.975, var2: 0.946)
    14, maf: 0.1610, mac: 322,	ratio: 1.0307 (var1: 0.878, var2: 0.851)
    15, maf: 0.0340, mac: 68,	ratio: 1.0307 (var1: 0.99, var2: 0.96)
    16, maf: 0.0215, mac: 43,	ratio: 1.0307 (var1: 0.986, var2: 0.957)
    17, maf: 0.0600, mac: 120,	ratio: 1.0307 (var1: 0.987, var2: 0.958)
    18, maf: 0.0285, mac: 57,	ratio: 1.0307 (var1: 0.972, var2: 0.943)
    19, maf: 0.0145, mac: 29,	ratio: 1.0307 (var1: 1, var2: 0.97)
    20, maf: 0.0130, mac: 26,	ratio: 1.0307 (var1: 1, var2: 0.973)
    21, maf: 0.1350, mac: 270,	ratio: 1.0307 (var1: 0.866, var2: 0.84)
    22, maf: 0.0315, mac: 63,	ratio: 1.0307 (var1: 1.03, var2: 0.998)
    23, maf: 0.0475, mac: 95,	ratio: 1.0307 (var1: 0.954, var2: 0.925)
    24, maf: 0.2475, mac: 495,	ratio: 1.0307 (var1: 0.791, var2: 0.767)
    25, maf: 0.0135, mac: 27,	ratio: 1.0307 (var1: 0.999, var2: 0.969)
    26, maf: 0.4915, mac: 983,	ratio: 1.0307 (var1: 0.491, var2: 0.476)
    27, maf: 0.0525, mac: 105,	ratio: 1.0307 (var1: 0.98, var2: 0.951)
    28, maf: 0.0195, mac: 39,	ratio: 1.0307 (var1: 0.99, var2: 0.961)
    29, maf: 0.0270, mac: 54,	ratio: 1.0307 (var1: 0.972, var2: 0.943)
    30, maf: 0.0380, mac: 76,	ratio: 1.0307 (var1: 1.01, var2: 0.976)
    ratio avg. is 1.030744, sd: 9.84416e-16
Wed Apr 13 02:16:25 2022
Done.
SAIGE association analysis:
    # of samples: 1,000
    # of variants: 10,000
    MAF threshold: NaN
    MAC threshold: 4
    missing threshold for variants: 0.1
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    # of processes: 1

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of variants after filtering by MAF, MAC and missing thresholds: 10,000
Done.
SAIGE association analysis:
    # of samples: 1,000
    # of variants: 10,000
    MAF threshold: NaN
    MAC threshold: 4
    missing threshold for variants: 0.1
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 1.030744
    # of processes: 1

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of variants after filtering by MAF, MAC and missing thresholds: 10,000
Done.


RUNIT TEST PROTOCOL -- Wed Apr 13 02:16:26 2022 
*********************************************** 
Number of test functions: 4 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
SAIGEgds RUnit Tests - 4 test functions, 0 errors, 0 failures
Number of test functions: 4 
Number of errors: 0 
Number of failures: 0 
> 
> proc.time()
   user  system elapsed 
  23.20    0.48   23.73 

SAIGEgds.Rcheck/tests_x64/runTests.Rout


R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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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.

> BiocGenerics:::testPackage("SAIGEgds")
Chromosome 1, # of units: 100
Chromosome 2, # of units: 3
# of units in total: 103
SAIGE ACAT-O analysis (combining burden & ACAT-V):
    # of samples: 1,000
    # of variants in total: 10,000
    # of units: 103
    avg. # of variants per unit: 193.2136
    min # of variants in a unit: 1
    max # of variants in a unit: 200
    sd  # of variants in a unit: 34.06529
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    variant weights: beta(1,1), beta(1,25)
    mac threshold for burden test: 10
    # of processes: 1
Calculating minor allele frequencies (MAF):

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    MAF: avg (0.08934), min (0.00200), max (0.50000), sd (0.12705)
Calculating p-values:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 2s
Done.
SAIGE ACAT-V analysis:
    # of samples: 1,000
    # of variants in total: 10,000
    # of units: 103
    avg. # of variants per unit: 193.2136
    min # of variants in a unit: 1
    max # of variants in a unit: 200
    sd  # of variants in a unit: 34.06529
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    variant weights: beta(1,1), beta(1,25)
    mac threshold for burden test: 10
    # of processes: 1
Calculating minor allele frequencies (MAF):

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    MAF: avg (0.08934), min (0.00200), max (0.50000), sd (0.12705)
Calculating p-values:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 3s
Done.
SAIGE burden analysis:
    # of samples: 1,000
    # of variants in total: 10,000
    # of units: 103
    avg. # of variants per unit: 193.2136
    min # of variants in a unit: 1
    max # of variants in a unit: 200
    sd  # of variants in a unit: 34.06529
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    variant weights: beta(1,1), beta(1,25)
    # of processes: 1
Calculating minor allele frequencies (MAF):

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    MAF: avg (0.08934), min (0.00200), max (0.50000), sd (0.12705)
Calculating p-values:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 2s
Done.
SAIGE association analysis:
Wed Apr 13 02:16:38 2022
Filtering variants:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of selected variants: 9,976
Fit the null model: y ~ x1 + x2 + var(GRM)
    # of samples: 1,000
    # of variants: 9,976
    using 1 thread
Transform on the design matrix with QR decomposition:
    new formula: y ~ x_0 + x_1 + x_2 - 1
Start loading SNP genotypes:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    using 6.6M (sparse matrix)
Binary outcome: y
       y Number Proportion
       0    902      0.902
       1     98      0.098
Initial fixed-effect coefficients:
         x_0        x_1        x_2
    2.520514 -0.7666948 -0.4557928
Initial variance component estimates, tau:
    Sigma_E: 1, Sigma_G: 0.5
Iteration 1:
    tau: (1, 0.4994116)
    fixed coeff: (2.520514, -0.7666948, -0.4557928)
Iteration 2:
    tau: (1, 0.3287896)
    fixed coeff: (2.521231, -0.776603, -0.4592503)
Iteration 3:
    tau: (1, 0.2817812)
    fixed coeff: (2.525954, -0.7738757, -0.4579659)
Iteration 4:
    tau: (1, 0.3211452)
    fixed coeff: (2.525719, -0.7730823, -0.4577413)
Iteration 5:
    tau: (1, 0.3361534)
    fixed coeff: (2.527166, -0.7739766, -0.4579633)
Final tau: (1, 0.3322063)
    fixed coeff: (2.527666, -0.774237, -0.4580237)
Calculate the average ratio of variances:
Wed Apr 13 02:16:41 2022
     1, maf: 0.0775, mac: 155,	ratio: 0.9387 (var1: 0.0736, var2: 0.0785)
     2, maf: 0.0355, mac: 71,	ratio: 0.9362 (var1: 0.0671, var2: 0.0716)
     3, maf: 0.0730, mac: 146,	ratio: 0.9323 (var1: 0.0799, var2: 0.0857)
     4, maf: 0.0160, mac: 32,	ratio: 0.9481 (var1: 0.0653, var2: 0.0689)
     5, maf: 0.0585, mac: 117,	ratio: 0.9382 (var1: 0.0743, var2: 0.0791)
     6, maf: 0.0155, mac: 31,	ratio: 0.9388 (var1: 0.0754, var2: 0.0803)
     7, maf: 0.3075, mac: 615,	ratio: 0.9400 (var1: 0.0521, var2: 0.0554)
     8, maf: 0.0715, mac: 143,	ratio: 0.9416 (var1: 0.0714, var2: 0.0759)
     9, maf: 0.0115, mac: 23,	ratio: 0.9375 (var1: 0.0844, var2: 0.09)
    10, maf: 0.0470, mac: 94,	ratio: 0.9466 (var1: 0.0719, var2: 0.0759)
    11, maf: 0.0310, mac: 62,	ratio: 0.9335 (var1: 0.073, var2: 0.0782)
    12, maf: 0.1340, mac: 268,	ratio: 0.9381 (var1: 0.0633, var2: 0.0675)
    13, maf: 0.0855, mac: 171,	ratio: 0.9412 (var1: 0.0746, var2: 0.0792)
    14, maf: 0.1610, mac: 322,	ratio: 0.9379 (var1: 0.0647, var2: 0.069)
    15, maf: 0.0340, mac: 68,	ratio: 0.9471 (var1: 0.0685, var2: 0.0724)
    16, maf: 0.0215, mac: 43,	ratio: 0.9353 (var1: 0.0805, var2: 0.086)
    17, maf: 0.0600, mac: 120,	ratio: 0.9489 (var1: 0.0707, var2: 0.0745)
    18, maf: 0.0285, mac: 57,	ratio: 0.9455 (var1: 0.0732, var2: 0.0774)
    19, maf: 0.0145, mac: 29,	ratio: 0.9436 (var1: 0.0705, var2: 0.0747)
    20, maf: 0.0130, mac: 26,	ratio: 0.9454 (var1: 0.0688, var2: 0.0728)
    21, maf: 0.1350, mac: 270,	ratio: 0.9422 (var1: 0.0624, var2: 0.0663)
    22, maf: 0.0315, mac: 63,	ratio: 0.9342 (var1: 0.0699, var2: 0.0748)
    23, maf: 0.0475, mac: 95,	ratio: 0.9348 (var1: 0.0737, var2: 0.0788)
    24, maf: 0.2475, mac: 495,	ratio: 0.9360 (var1: 0.06, var2: 0.0641)
    25, maf: 0.0135, mac: 27,	ratio: 0.9523 (var1: 0.0622, var2: 0.0654)
    26, maf: 0.4915, mac: 983,	ratio: 0.9433 (var1: 0.0362, var2: 0.0383)
    27, maf: 0.0525, mac: 105,	ratio: 0.9366 (var1: 0.0734, var2: 0.0783)
    28, maf: 0.0195, mac: 39,	ratio: 0.9421 (var1: 0.0741, var2: 0.0787)
    29, maf: 0.0270, mac: 54,	ratio: 0.9502 (var1: 0.0718, var2: 0.0756)
    30, maf: 0.0380, mac: 76,	ratio: 0.9453 (var1: 0.0733, var2: 0.0776)
    ratio avg. is 0.9410507, sd: 0.005353982
Wed Apr 13 02:16:42 2022
Done.
SAIGE association analysis:
Wed Apr 13 02:16:42 2022
Filtering variants:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of selected variants: 9,976
Fit the null model: yy ~ x1 + x2 + var(GRM)
    # of samples: 1,000
    # of variants: 9,976
    using 1 thread
Transform on the design matrix with QR decomposition:
    new formula: y ~ x_0 + x_1 + x_2 - 1
Start loading SNP genotypes:

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
    using 6.6M (sparse matrix)
Quantitative outcome: yy
        mean        sd    min    max
    4.987525 0.9817471 1.6383 7.6701
Inverse normal transformation on residuals with standard deviation: 0.981695
Initial fixed-effect coefficients:
              x_0          x_1         x_2
    -7.900429e-17 -0.003167949 0.001143224
Initial variance component estimates, tau:
    Sigma_E: 0.481718, Sigma_G: 0.481718
Iteration 1:
    tau: (0.5780754, 0.4791097)
    fixed coeff: (-7.900429e-17, -0.003167949, 0.001143224)
Iteration 2:
    tau: (0.7700948, 0.1571539)
    fixed coeff: (7.969752e-07, -0.01596609, -0.004398386)
Iteration 3:
    tau: (0.8649753, 0.0670912)
    fixed coeff: (3.558187e-07, -0.01030783, 3.137729e-05)
Iteration 4:
    tau: (0.9159832, 0.02884355)
    fixed coeff: (2.850052e-07, -0.006806145, 0.00088392)
Iteration 5:
    tau: (0.942882, 0)
    fixed coeff: (1.393627e-06, -0.004853796, 0.001081237)
Final tau: (0.9701727, 0)
    fixed coeff: (-6.282204e-17, -0.003167949, 0.001143224)
Calculate the average ratio of variances:
Wed Apr 13 02:16:46 2022
     1, maf: 0.0775, mac: 155,	ratio: 1.0307 (var1: 1.02, var2: 0.985)
     2, maf: 0.0355, mac: 71,	ratio: 1.0307 (var1: 0.955, var2: 0.927)
     3, maf: 0.0730, mac: 146,	ratio: 1.0307 (var1: 1, var2: 0.975)
     4, maf: 0.0160, mac: 32,	ratio: 1.0307 (var1: 0.994, var2: 0.964)
     5, maf: 0.0585, mac: 117,	ratio: 1.0307 (var1: 1.01, var2: 0.984)
     6, maf: 0.0155, mac: 31,	ratio: 1.0307 (var1: 0.998, var2: 0.968)
     7, maf: 0.3075, mac: 615,	ratio: 1.0307 (var1: 0.707, var2: 0.686)
     8, maf: 0.0715, mac: 143,	ratio: 1.0307 (var1: 0.969, var2: 0.94)
     9, maf: 0.0115, mac: 23,	ratio: 1.0307 (var1: 1, var2: 0.974)
    10, maf: 0.0470, mac: 94,	ratio: 1.0307 (var1: 0.999, var2: 0.969)
    11, maf: 0.0310, mac: 62,	ratio: 1.0307 (var1: 0.997, var2: 0.967)
    12, maf: 0.1340, mac: 268,	ratio: 1.0307 (var1: 0.882, var2: 0.855)
    13, maf: 0.0855, mac: 171,	ratio: 1.0307 (var1: 0.975, var2: 0.946)
    14, maf: 0.1610, mac: 322,	ratio: 1.0307 (var1: 0.878, var2: 0.851)
    15, maf: 0.0340, mac: 68,	ratio: 1.0307 (var1: 0.99, var2: 0.96)
    16, maf: 0.0215, mac: 43,	ratio: 1.0307 (var1: 0.986, var2: 0.957)
    17, maf: 0.0600, mac: 120,	ratio: 1.0307 (var1: 0.987, var2: 0.958)
    18, maf: 0.0285, mac: 57,	ratio: 1.0307 (var1: 0.972, var2: 0.943)
    19, maf: 0.0145, mac: 29,	ratio: 1.0307 (var1: 1, var2: 0.97)
    20, maf: 0.0130, mac: 26,	ratio: 1.0307 (var1: 1, var2: 0.973)
    21, maf: 0.1350, mac: 270,	ratio: 1.0307 (var1: 0.866, var2: 0.84)
    22, maf: 0.0315, mac: 63,	ratio: 1.0307 (var1: 1.03, var2: 0.998)
    23, maf: 0.0475, mac: 95,	ratio: 1.0307 (var1: 0.954, var2: 0.925)
    24, maf: 0.2475, mac: 495,	ratio: 1.0307 (var1: 0.791, var2: 0.767)
    25, maf: 0.0135, mac: 27,	ratio: 1.0307 (var1: 0.999, var2: 0.969)
    26, maf: 0.4915, mac: 983,	ratio: 1.0307 (var1: 0.491, var2: 0.476)
    27, maf: 0.0525, mac: 105,	ratio: 1.0307 (var1: 0.98, var2: 0.951)
    28, maf: 0.0195, mac: 39,	ratio: 1.0307 (var1: 0.99, var2: 0.961)
    29, maf: 0.0270, mac: 54,	ratio: 1.0307 (var1: 0.972, var2: 0.943)
    30, maf: 0.0380, mac: 76,	ratio: 1.0307 (var1: 1.01, var2: 0.976)
    ratio avg. is 1.030744, sd: 9.84416e-16
Wed Apr 13 02:16:46 2022
Done.
SAIGE association analysis:
    # of samples: 1,000
    # of variants: 10,000
    MAF threshold: NaN
    MAC threshold: 4
    missing threshold for variants: 0.1
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 0.9410507
    # of processes: 1

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of variants after filtering by MAF, MAC and missing thresholds: 10,000
Done.
SAIGE association analysis:
    # of samples: 1,000
    # of variants: 10,000
    MAF threshold: NaN
    MAC threshold: 4
    missing threshold for variants: 0.1
    p-value threshold for SPA adjustment: 0.05
    variance ratio for approximation: 1.030744
    # of processes: 1

[..................................................]  0%, ETC: ---    
[==================================================] 100%, completed, 0s
# of variants after filtering by MAF, MAC and missing thresholds: 10,000
Done.


RUNIT TEST PROTOCOL -- Wed Apr 13 02:16:47 2022 
*********************************************** 
Number of test functions: 4 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
SAIGEgds RUnit Tests - 4 test functions, 0 errors, 0 failures
Number of test functions: 4 
Number of errors: 0 
Number of failures: 0 
> 
> proc.time()
   user  system elapsed 
  19.96    0.48   20.43 

Example timings

SAIGEgds.Rcheck/examples_i386/SAIGEgds-Ex.timings

nameusersystemelapsed
SAIGEgds-package 4.83 0.0612.60
glmmHeritability4.420.044.46
pACAT000
seqAssocGLMM_SPA3.520.013.53
seqAssocGLMM_spaACAT_O5.700.065.76
seqAssocGLMM_spaACAT_V5.480.085.58
seqAssocGLMM_spaBurden4.140.104.24
seqFitNullGLMM_SPA3.710.033.73
seqGLMM_GxG_spa6.470.016.50
seqSAIGE_LoadPval0.120.000.13

SAIGEgds.Rcheck/examples_x64/SAIGEgds-Ex.timings

nameusersystemelapsed
SAIGEgds-package4.440.064.53
glmmHeritability3.580.033.61
pACAT000
seqAssocGLMM_SPA3.780.003.79
seqAssocGLMM_spaACAT_O5.470.005.47
seqAssocGLMM_spaACAT_V6.110.026.13
seqAssocGLMM_spaBurden4.250.034.28
seqFitNullGLMM_SPA3.350.003.36
seqGLMM_GxG_spa6.220.006.22
seqSAIGE_LoadPval0.050.000.04