Package index • bigPLSR

All functions

bigPLSR-package 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

.finalize_pls_fit(): Finalize pls objects

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