Package: sgPLS 1.8
Benoit Liquet
sgPLS: Sparse Group Partial Least Square Methods
Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) <doi:10.1093/bioinformatics/btv535>). Version of PLS Discriminant analysis is also provided.
Authors:
sgPLS_1.8.tar.gz
sgPLS_1.8.tar.gz(r-4.5-noble)sgPLS_1.8.tar.gz(r-4.4-noble)
sgPLS_1.8.tgz(r-4.4-emscripten)sgPLS_1.8.tgz(r-4.3-emscripten)
sgPLS.pdf |sgPLS.html✨
sgPLS/json (API)
| # Install 'sgPLS' in R: |
| install.packages('sgPLS', repos = 'https://cloud.r-project.org') |
- simuData - Simulated Data for group PLS-DA model
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:a45f57c83b. Checks:2 OK, 1 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 28 2025 |
| R-4.5-linux | NOTE | Mar 28 2025 |
| R-4.4-linux | OK | Mar 28 2025 |
Exports:gPLSgPLSdalambda.quadranormvper.varianceperfperf.gPLSperf.sgPLSperf.sPLSplotcimpredict.gPLSpredict.sgPLSpredict.sPLSselect.sgplsselect.splssgPLSsgPLSdasoft.thresholdingsoft.thresholding.groupsoft.thresholding.sparse.groupsPLSsPLSdastep1.group.spls.sparsitystep1.sparse.group.spls.sparsitystep1.spls.sparsitystep2.splstuning.gPLS.Xtuning.sgPLS.Xtuning.sPLS.X
Dependencies:base64encBHBiocParallelbslibcachemclicodetoolscolorspacecorpcorcpp11digestdplyrellipseevaluatefansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsggplot2ggrepelgluegridExtragsignalgtablehighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixOmicsmunsellmvtnormnlmepillarpkgconfigplyrpracmapurrrR6rappdirsrARPACKRColorBrewerRcppRcppEigenreshape2rglrlangrmarkdownRSpectrasassscalessnowstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Citation
To cite package ‘sgPLS’ in publications use:
Liquet B, de Micheaux PL, Broc C (2023). sgPLS: Sparse Group Partial Least Square Methods. R package version 1.8, https://CRAN.R-project.org/package=sgPLS.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{,
title = {sgPLS: Sparse Group Partial Least Square Methods},
author = {Benoit Liquet and Pierre Lafaye {de Micheaux} and Camilo
Broc},
year = {2023},
note = {R package version 1.8},
url = {https://CRAN.R-project.org/package=sgPLS},
}