Package: gspcr 0.9.5

Edoardo Costantini

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✨
gspcr/json (API)

# Install 'gspcr' in R:
install.packages('gspcr', repos = c('https://edoardocostantini.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Datasets:

On CRAN:

4.78 score 1 stars 10 scripts 166 downloads 22 exports 109 dependencies

Last updated 8 months agofrom:d20e96135b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winOKNov 06 2024
R-4.5-linuxOKNov 06 2024
R-4.4-winOKNov 06 2024
R-4.4-macOKNov 06 2024
R-4.3-winOKNov 06 2024
R-4.3-macOKNov 06 2024

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:abindbackportsbase64encbitopsbootbroombslibcachemcarcarDatacaToolscliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegplotsgtablegtoolshighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqaMLmetricsmodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestPCAmixdatapillarpkgconfigplyrpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownROCRsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Vignette 1: Example analysis with GSPCR

Rendered fromvignette-1-example-analysis.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2023-11-21
Started: 2023-11-08

Vignette 2: GSPCR specification options

Rendered fromvignette-2-gspcr-arguments.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2023-11-21
Started: 2023-11-08

Vignette 3: Alternatives approaches

Rendered fromvignette-3-alternatives.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2023-11-21
Started: 2023-11-08