Package: palmtree 0.9-1

palmtree: Partially Additive (Generalized) Linear Model Trees

This is an implementation of model-based trees with global model parameters (PALM trees). The PALM tree algorithm is an extension to the MOB algorithm (implemented in the 'partykit' package), where some parameters are fixed across all groups. Details about the method can be found in Seibold, Hothorn, Zeileis (2016) <arxiv:1612.07498>. The package offers coef(), logLik(), plot(), and predict() functions for PALM trees.

Authors:Heidi Seibold [aut, cre], Torsten Hothorn [aut], Achim Zeileis [aut]

palmtree_0.9-1.tar.gz
palmtree_0.9-1.zip(r-4.5)palmtree_0.9-1.zip(r-4.4)palmtree_0.9-1.zip(r-4.3)
palmtree_0.9-1.tgz(r-4.4-any)palmtree_0.9-1.tgz(r-4.3-any)
palmtree_0.9-1.tar.gz(r-4.5-noble)palmtree_0.9-1.tar.gz(r-4.4-noble)
palmtree_0.9-1.tgz(r-4.4-emscripten)palmtree_0.9-1.tgz(r-4.3-emscripten)
palmtree.pdf |palmtree.html
palmtree/json (API)

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

Peer review:

On CRAN:

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

1 exports 1 stars 0.09 score 9 dependencies 8 scripts 165 downloads

Last updated 4 years agofrom:6591ff9b80. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:palmtree

Dependencies:FormulainumlatticelibcoinMatrixmvtnormpartykitrpartsurvival

Readme and manuals

Help Manual

Help pageTopics
Partially Additive (Generalized) Linear Model Treescoef.palmtree logLik.palmtree palmtree plot.palmtree predict.palmtree print.palmtree