Package: bplsr 1.0.0
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:
bplsr_1.0.0.tar.gz
bplsr_1.0.0.tar.gz(r-4.5-noble)bplsr_1.0.0.tar.gz(r-4.4-noble)
bplsr_1.0.0.tgz(r-4.4-emscripten)bplsr_1.0.0.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')) |
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.
Last updated 11 days agofrom:425a67629a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
Exports:bplsrbplsr.predict
Dependencies:clicodacrayongluehmslatticelifecyclepkgconfigprettyunitsprogressR6rlangstatmodvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Run the BPLS regression model | bplsr |
Predict from a fitted BPLS regression model | bplsr.predict |
Milk traits and corresponding mid-infrared spectra | milk_MIR |