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:	1.0.0
Depends:	R (≥ 2.10)
Imports:	coda, progress, statmod, stats, utils
Published:	2024-11-12
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:	eng
Materials:	README
CRAN checks:	bplsr results

Documentation:

Reference manual:

bplsr.pdf

Downloads:

Package source:	bplsr_1.0.0.tar.gz
Windows binaries:	r-devel: bplsr_1.0.0.zip, r-release: not available, r-oldrel: bplsr_1.0.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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