Package: spls 2.2-3

spls: Sparse Partial Least Squares (SPLS) Regression and Classification

Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).

Authors:Dongjun Chung <[email protected]>, Hyonho Chun <[email protected]>, Sunduz Keles <[email protected]>

spls_2.2-3.tar.gz
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spls_2.2-3.tgz(r-4.4-any)spls_2.2-3.tgz(r-4.3-any)
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spls.pdf |spls.html✨
spls/json (API)

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

Peer review:

Datasets:
  • lymphoma - Lymphoma Gene Expression Dataset
  • mice - Mice Dataset
  • prostate - Prostate Tumor Gene Expression Dataset
  • yeast - Yeast Cell Cycle Dataset

On CRAN:

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

6.45 score 2 stars 6 packages 145 scripts 5.4k downloads 23 mentions 20 exports 3 dependencies

Last updated 6 years agofrom:e3a2ab62ea. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:ci.splscoef.sgplscoef.splscoef.splsdacoefplot.splscorrect.splscv.sgplscv.splscv.splsdaheatmap.splsplot.splspredict.sgplspredict.splspredict.splsdaprint.sgplsprint.splsprint.splsdasgplssplssplsda

Dependencies:MASSnnetpls

Sparse PLS

Rendered fromspls-example.Rnwusingutils::Sweaveon Oct 27 2024.

Last update: 2012-06-09
Started: 2012-06-09