Package: bplsr 1.0.5

Szymon Urbas

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.

Authors:Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]

bplsr_1.0.5.tar.gz
bplsr_1.0.5.tar.gz(r-4.7-any)bplsr_1.0.5.tar.gz(r-4.6-any)
bplsr_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bplsr/json (API)

# Install 'bplsr' in R:
install.packages('bplsr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • milk_MIR - Milk traits and corresponding mid-infrared spectra

On CRAN:

Conda:

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

2.00 score 2 scripts 484 downloads 2 exports 14 dependencies

Last updated from:c110f86ceb. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK111
source / vignettesOK157
linux-release-x86_64OK111
wasm-releaseOK97

Exports:bplsrbplsr.predict

Dependencies:clicodacrayongluehmslatticelifecyclepkgconfigprettyunitsprogressR6rlangstatmodvctrs