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.

PrInDT: Prediction and Interpretation in Decision Trees for Classification and Regression

Optimization of conditional inference trees from the package 'party' for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of repeated subsampling. Restrictions are allowed so that only trees are accepted which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a). The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT() for different percentages of the observations of the large and the small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT()) allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel classification. In addition to these PrInDT() variants for classification, the function PrInDTreg() has been developed for regression problems. Finally, the function PostPrInDT() allows for a posterior analysis of the distribution of a specified variable in the terminal nodes of a given tree. References are: – Weihs, C., Buschfeld, S. (2021a) "Combining Prediction and Interpretation in Decision Trees (PrInDT) - a Linguistic Example" <doi:10.48550/arXiv.2103.02336>; – Weihs, C., Buschfeld, S. (2021b) "NesPrInDT: Nested undersampling in PrInDT" <doi:10.48550/arXiv.2103.14931>; – Weihs, C., Buschfeld, S. (2021c) "Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles" <doi:10.48550/arXiv.2108.05129>.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: graphics, MASS, party, splitstackshape, stats, stringr, utils
Published: 2023-05-09
Author: Claus Weihs [aut, cre], Sarah Buschfeld [aut], Niklas Nitsch [ctb]
Maintainer: Claus Weihs <claus.weihs at tu-dortmund.de>
License: GPL-2
NeedsCompilation: no
CRAN checks: PrInDT results

Documentation:

Reference manual: PrInDT.pdf

Downloads:

Package source: PrInDT_1.0.1.tar.gz
Windows binaries: r-devel: PrInDT_1.0.1.zip, r-release: PrInDT_1.0.1.zip, r-oldrel: PrInDT_1.0.1.zip
macOS binaries: r-release (arm64): PrInDT_1.0.1.tgz, r-oldrel (arm64): PrInDT_1.0.1.tgz, r-release (x86_64): PrInDT_1.0.1.tgz, r-oldrel (x86_64): PrInDT_1.0.1.tgz
Old sources: PrInDT archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PrInDT 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.