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 |
Reference manual: | bplsr.pdf |
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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