Package: bplsr 1.0.1

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_1.0.1.tar.gz
bplsr_1.0.1.tar.gz(r-4.5-noble)bplsr_1.0.1.tar.gz(r-4.4-noble)
bplsr_1.0.1.tgz(r-4.4-emscripten)bplsr_1.0.1.tgz(r-4.3-emscripten)
bplsr.pdf |bplsr.html
bplsr/json (API)

# Install 'bplsr' in R:
install.packages('bplsr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • milk_MIR - Milk traits and corresponding mid-infrared spectra

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 281 downloads 2 exports 14 dependencies

Last updated 22 days agofrom:21750557cd. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linuxOKDec 02 2024

Exports:bplsrbplsr.predict

Dependencies:clicodacrayongluehmslatticelifecyclepkgconfigprettyunitsprogressR6rlangstatmodvctrs