Package: BayesPPR 0.1.0
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>).
Authors:
BayesPPR_0.1.0.tar.gz
BayesPPR_0.1.0.tar.gz(r-4.7-any)BayesPPR_0.1.0.tar.gz(r-4.6-any)
BayesPPR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesPPR/json (API)
NEWS
| # Install 'BayesPPR' in R: |
| install.packages('BayesPPR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gqcollins/bayesppr/issues
Last updated from:9949c356ba. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 161 | ||
| source / vignettes | OK | 145 | ||
| linux-release-x86_64 | OK | 157 | ||
| wasm-release | OK | 103 |
Exports:bpprbppr_pcabppr_resume
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Projection Pursuit Regression | bppr |
| BayesPPR for Multivariate Response | bppr_pca |
| Resume Sampling of BPPR Parameters | bppr_resume |
| BPPR Plot Diagnostics | plot.bppr |
| BayesPPR Predictions | predict.bppr |
| BayesPPR Predictions for Multivariate Response | predict.bppr_pca |
| Print BPPR Details | print.bppr |
| Summarize BPPR Details | summary.bppr |
