Package: BayesPPR 0.2.0.9000

J. Derek Tucker

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:Gavin Collins [aut, ctb], J. Derek Tucker [ctb, cre]

BayesPPR_0.2.0.9000.tar.gz
BayesPPR_0.2.0.9000.zip(r-4.7-any)BayesPPR_0.2.0.9000.zip(r-4.6-any)BayesPPR_0.2.0.9000.zip(r-4.5-any)
BayesPPR_0.2.0.9000.tgz(r-4.6-any)BayesPPR_0.2.0.9000.tgz(r-4.5-any)
BayesPPR_0.2.0.9000.tar.gz(r-4.7-any)BayesPPR_0.2.0.9000.tar.gz(r-4.6-any)
BayesPPR_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BayesPPR/json (API)

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

Bug tracker:https://github.com/gqcollins/bayesppr/issues

On CRAN:

Conda:

4.08 score 4 stars 5 scripts 338 downloads 3 exports 0 dependencies

Last updated from:7a3b0e35c3. Checks:8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK137
source / vignettesOK165
linux-releaseOK138
macos-releaseOK237
macos-oldrelFAIL117
windows-develOK93
windows-releaseOK109
windows-oldrelOK117
wasm-releaseOK67

Exports:bpprbppr_pcabppr_resume

Dependencies: