The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <https://github.com/adimajo/manuscrit_these/releases/>.
Version: | 0.3.1 |
Imports: | partykit, magrittr, methods, dplyr, caret |
Suggests: | FactoMineR, knitr, testthat, covr, rmarkdown |
Published: | 2024-03-06 |
DOI: | 10.32614/CRAN.package.glmtree |
Author: | Adrien Ehrhardt [aut, cre] |
Maintainer: | Adrien Ehrhardt <adrien.ehrhardt at centraliens-lille.org> |
BugReports: | https://github.com/adimajo/glmtree/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://adimajo.github.io |
NeedsCompilation: | no |
Citation: | glmtree citation info |
CRAN checks: | glmtree results |
Reference manual: | glmtree.pdf |
Vignettes: |
'glmtree' package |
Package source: | glmtree_0.3.1.tar.gz |
Windows binaries: | r-devel: glmtree_0.3.1.zip, r-release: glmtree_0.3.1.zip, r-oldrel: glmtree_0.3.1.zip |
macOS binaries: | r-release (arm64): glmtree_0.3.1.tgz, r-oldrel (arm64): glmtree_0.3.1.tgz, r-release (x86_64): glmtree_0.3.1.tgz, r-oldrel (x86_64): glmtree_0.3.1.tgz |
Old sources: | glmtree archive |
Please use the canonical form https://CRAN.R-project.org/package=glmtree 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.
Health stats visible at Monitor.