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]

gspcr_0.9.5.tar.gz
gspcr_0.9.5.tar.gz(r-4.7-any)gspcr_0.9.5.tar.gz(r-4.6-any)
gspcr_0.9.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gspcr/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.18 score 1 stars 10 scripts 356 downloads 22 exports 130 dependencies

Last updated from:8d414d7429. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK203
source / vignettesOK235
linux-release-x86_64OK207
wasm-releaseOK168

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:abindbackportsbase64encbitopsbootbroombslibcachemcarcarDatacaToolscliclustercolorspacecommonmarkcowplotcpp11crosstalkcurlDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapflashClustfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelggtextgluegplotsgridtextgtablegtoolshighrhtmltoolshtmlwidgetsirlbaisobandjpegjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleapslifecyclelitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmimeminqaMLmetricsmodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestPCAmixdatapillarpkgconfigplyrpngpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownROCRS7sassscalesscatterplot3dshowtextshowtextdbSparseMstringistringrsurvivalsysfontstibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunxml2yamlzoo

Vignette 1: Example analysis with GSPCR
Parameter tuning | Graphical output | Estimation | Prediction | References
Rendered fromvignette-1-example-analysis.Rmdusingknitr::rmarkdown

Last update: 2023-11-22
Started: 2023-11-18

Vignette 2: GSPCR specification options
Association measures | Fit measures | Number of components
Rendered fromvignette-2-gspcr-arguments.Rmdusingknitr::rmarkdown

Last update: 2023-11-22
Started: 2023-11-18

Vignette 3: Alternatives approaches
Compare results with superpc | Is K-fold cross-validation working? | 1SE solutions | Alternatives to CV
Rendered fromvignette-3-alternatives.Rmdusingknitr::rmarkdown

Last update: 2023-11-22
Started: 2023-11-18