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.
Creation of imprecise classification trees. They rely on probability estimation within each node by means of either the imprecise Dirichlet model or the nonparametric predictive inference approach. The splitting variable is selected by the strategy presented in Fink and Crossman (2013) <http://www.sipta.org/isipta13/index.php?id=paper&paper=014.html>, but also the original imprecise information gain of Abellan and Moral (2003) <doi:10.1002/int.10143> is covered.
| Version: | 0.5.1 |
| Imports: | Rcpp (≥ 0.12.5) |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2018-08-17 |
| Author: | Paul Fink [aut, cre] |
| Maintainer: | Paul Fink <paul.fink at stat.uni-muenchen.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | ChangeLog |
| CRAN checks: | imptree results |
| Reference manual: | imptree.pdf |
| Package source: | imptree_0.5.1.tar.gz |
| Windows binaries: | r-devel: imptree_0.5.1.zip, r-release: imptree_0.5.1.zip, r-oldrel: imptree_0.5.1.zip |
| macOS binaries: | r-release (arm64): imptree_0.5.1.tgz, r-oldrel (arm64): imptree_0.5.1.tgz, r-release (x86_64): imptree_0.5.1.tgz, r-oldrel (x86_64): imptree_0.5.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=imptree 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.