Package: btrm 0.2.0

btrm: Bayesian Treed Regression Model for Personalized Prediction and Precision Diagnostics

Generalization of the Bayesian classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors regression model to each terminal node.

Authors:Yunro Chung [aut, cre], Yaliang Zhang [aut]

btrm_0.2.0.tar.gz
btrm_0.2.0.zip(r-4.7-any)btrm_0.2.0.zip(r-4.6-any)btrm_0.2.0.zip(r-4.5-any)
btrm_0.2.0.tgz(r-4.6-any)btrm_0.2.0.tgz(r-4.5-any)
btrm_0.2.0.tar.gz(r-4.7-any)btrm_0.2.0.tar.gz(r-4.6-any)
btrm_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
btrm/json (API)

# Install 'btrm' in R:
install.packages('btrm', repos = c('https://zea23i651096531.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 334 downloads 1 exports 17 dependencies

Last updated from:3f78353ef0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK116
source / vignettesOK147
linux-releaseOK115
macos-releaseOK89
macos-oldrelOK96
windows-develOK82
windows-releaseOK84
windows-oldrelOK86
wasm-releaseOK99

Exports:btrm

Dependencies:abindarmbootcodalatticelme4MASSMatrixminqanlmenloptrpROCrbibutilsRcppRcppEigenRdpackreformulas