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BayesPPR: Bayesian Projection Pursuit Regression

Bayesian fitting of projection pursuit regression model. Built to handle continuous and categorical inputs and scalar output (Collins et al., 2023 <doi:10.1007/s11222-023-10334-z>).

Version: 0.1.0
Imports: methods
Suggests: testthat (≥ 3.0.0)
Published: 2026-05-18
DOI: 10.32614/CRAN.package.BayesPPR
Author: Gavin Collins [aut, ctb], J. Derek Tucker ORCID iD [ctb, cre]
Maintainer: J. Derek Tucker <jdtuck at sandia.gov>
BugReports: https://github.com/gqcollins/BayesPPR/issues
License: MIT + file LICENSE
URL: https://github.com/gqcollins/BayesPPR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: BayesPPR results

Documentation:

Reference manual: BayesPPR.html , BayesPPR.pdf

Downloads:

Package source: BayesPPR_0.1.0.tar.gz
Windows binaries: r-devel: BayesPPR_0.1.0.zip, r-release: BayesPPR_0.1.0.zip, r-oldrel: BayesPPR_0.1.0.zip
macOS binaries: r-release (arm64): BayesPPR_0.1.0.tgz, r-oldrel (arm64): BayesPPR_0.1.0.tgz, r-release (x86_64): BayesPPR_0.1.0.tgz, r-oldrel (x86_64): BayesPPR_0.1.0.tgz

Reverse dependencies:

Reverse suggests: mvBayes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesPPR to link to this page.

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.