Partial Least Squares Regression Models with Big Matrices

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Documentation for package ‘bigPLSR’ version 0.7.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

bigPLSR-package	bigPLSR-package
.finalize_pls_fit	Finalize pls objects
bigPLSR	bigPLSR-package
bigPLSR_stream_kstats	Streamed centering statistics for RKHS kernels
cpp_irls_binomial	Fast IRLS for binomial logit with class weights
cpp_kernel_pls	Internal kernel and wide-kernel PLS solver
external_pls_benchmarks	Benchmark results against external PLS implementations
kf_pls_state_fit	Finalize a KF-PLS state into a fitted model
kf_pls_state_new	KF-PLS streaming state (constructor)
kf_pls_state_update	Update a KF-PLS streaming state with a mini-batch
plot_pls_biplot	PLS biplot
plot_pls_bootstrap_coefficients	Boxplots of bootstrap coefficient distributions
plot_pls_bootstrap_scores	Boxplots of bootstrap score distributions
plot_pls_individuals	Plot individual scores
plot_pls_variables	Plot variable loadings
plot_pls_vip	Plot Variable Importance in Projection (VIP)
pls_bootstrap	Bootstrap a PLS model
pls_cross_validate	Cross-validate PLS models
pls_cv_select	Select components from cross-validation results
pls_fit	Unified PLS fit with auto backend and selectable algorithm
pls_information_criteria	Compute information criteria for component selection
pls_predict_response	Predict responses from a PLS fit
pls_predict_scores	Predict latent scores from a PLS fit
pls_select_components	Component selection via information criteria
pls_threshold	Naive sparsity control by coefficient thresholding
pls_vip	Variable importance in projection (VIP) scores
predict.big_plsr	Predict method for big_plsr objects
print.summary.big_plsr	Print a 'summary.big_plsr' object
summarise_pls_bootstrap	Summarise bootstrap estimates
summary.big_plsr	Summarize a 'big_plsr' model