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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_1.0.1.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.