Package: gspcr 0.9.5

gspcr: Generalized Supervised Principal Component Regression

Generalization of supervised principal component regression (SPCR; Bair et al., 2006, <doi:10.1198/016214505000000628>) to support continuous, binary, and discrete variables as outcomes and predictors (inspired by the 'superpc' R package <https://cran.r-project.org/package=superpc>).

Authors:Edoardo Costantini [aut, cre]

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gspcr.pdf |gspcr.html✨
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Peer review:

Bug tracker:https://github.com/edoardocostantini/gspcr/issues

On CRAN:

22 exports 1 stars 1.18 score 108 dependencies 10 scripts 205 downloads

Last updated 6 months agofrom:d20e96135b. Checks:OK: 7. Indexed: yes.

Exports:compute_sccp_AICcp_BICcp_Fcp_gR2cp_LRTcp_thrs_LLScp_thrs_NORcp_thrs_PR2cp_validation_fitcv_averagecv_choosecv_gspcrest_gspcrest_univ_modsLL_baselineLL_binomialLL_cumulativeLL_gaussianLL_newdataLL_poissonpca_mix

Dependencies:abindbackportsbase64encbitopsbootbroombslibcachemcarcarDatacaToolscliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomefsgenericsggplot2ggrepelgluegplotsgtablegtoolshighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqaMLmetricsmodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestPCAmixdatapillarpkgconfigplyrpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownROCRsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml