Package: sNPLS 1.0.40

sNPLS: NPLS Regression with L1 Penalization

Tools for performing variable selection in three-way data using N-PLS in combination with L1 penalization, Selectivity Ratio and VIP scores. The N-PLS model (Rasmus Bro, 1996 <doi:10.1002/(SICI)1099-128X(199601)10:1%3C47::AID-CEM400%3E3.0.CO;2-C>) is the natural extension of PLS (Partial Least Squares) to N-way structures, and tries to maximize the covariance between X and Y data arrays. The package also adds variable selection through L1 penalization, Selectivity Ratio and VIP scores.

Authors:David Hervas

sNPLS_1.0.40.tar.gz
sNPLS_1.0.40.zip(r-4.5)sNPLS_1.0.40.zip(r-4.4)sNPLS_1.0.40.zip(r-4.3)
sNPLS_1.0.40.tgz(r-4.4-any)sNPLS_1.0.40.tgz(r-4.3-any)
sNPLS_1.0.40.tar.gz(r-4.5-noble)sNPLS_1.0.40.tar.gz(r-4.4-noble)
sNPLS_1.0.40.tgz(r-4.4-emscripten)sNPLS_1.0.40.tgz(r-4.3-emscripten)
sNPLS.pdf |sNPLS.html
sNPLS/json (API)

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

Bug tracker:https://github.com/david-hervas/snpls/issues

Datasets:

On CRAN:

2.70 score 3 scripts 295 downloads 7 exports 56 dependencies

Last updated 1 years agofrom:373054a149. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 23 2025
R-4.5-winNOTEJan 23 2025
R-4.5-linuxNOTEJan 23 2025
R-4.4-winNOTEJan 23 2025
R-4.4-macNOTEJan 23 2025
R-4.3-winNOTEJan 23 2025
R-4.3-macNOTEJan 23 2025

Exports:auroccv_fitcv_snplsga_snplsrepeat_cvsNPLSSR

Dependencies:beeswarmcliclickRcodetoolscolorspacecrayondigestfansifarverFNNforeachfuturefuture.applyGAggplot2ggrepelglobalsgluegtableisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelistenvmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmeparallellypbapplypillarpkgconfigplyrpracmapROCR6RColorBrewerRcppRcppArmadillorlangscalesstringdisttibbleutf8vctrsviridisLitewithr