bplsr: Bayesian partial least squares regression

Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: coda, progress, statmod, stats, utils
Published: 2024-12-02
DOI: 10.32614/CRAN.package.bplsr
Author: Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]
Maintainer: Szymon Urbas <szymon.urbas at mu.ie>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en
Materials: README
CRAN checks: bplsr results

Documentation:

Reference manual: bplsr.pdf

Downloads:

Package source: bplsr_1.0.1.tar.gz
Windows binaries: r-devel: bplsr_1.0.1.zip, r-release: bplsr_1.0.1.zip, r-oldrel: bplsr_1.0.0.zip
macOS binaries: r-release (arm64): bplsr_1.0.1.tgz, r-oldrel (arm64): bplsr_1.0.1.tgz, r-release (x86_64): bplsr_1.0.1.tgz, r-oldrel (x86_64): bplsr_1.0.1.tgz
Old sources: bplsr archive

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