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.
The goal of this package is to cover the most common steps in probability of default (PD) rating model development and validation. The main procedures available are those that refer to univariate, bivariate, multivariate analysis, calibration and validation. Along with accompanied 'monobin' and 'monobinShiny' packages, 'PDtoolkit' provides functions which are suitable for different data transformation and modeling tasks such as: imputations, monotonic binning of numeric risk factors, binning of categorical risk factors, weights of evidence (WoE) and information value (IV) calculations, WoE coding (replacement of risk factors modalities with WoE values), risk factor clustering, area under curve (AUC) calculation and others. Additionally, package provides set of validation functions for testing homogeneity, heterogeneity, discriminatory and predictive power of the model.
| Version: | 1.2.0 |
| Depends: | monobin, R (≥ 2.10) |
| Imports: | dplyr, rpart |
| Published: | 2023-09-20 |
| DOI: | 10.32614/CRAN.package.PDtoolkit |
| Author: | Andrija Djurovic [aut, cre] |
| Maintainer: | Andrija Djurovic <djandrija at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/andrija-djurovic/PDtoolkit |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | PDtoolkit results |
| Reference manual: | PDtoolkit.pdf |
| Package source: | PDtoolkit_1.2.0.tar.gz |
| Windows binaries: | r-devel: PDtoolkit_1.2.0.zip, r-release: PDtoolkit_1.2.0.zip, r-oldrel: PDtoolkit_1.2.0.zip |
| macOS binaries: | r-release (arm64): PDtoolkit_1.2.0.tgz, r-oldrel (arm64): PDtoolkit_1.2.0.tgz, r-release (x86_64): PDtoolkit_1.2.0.tgz, r-oldrel (x86_64): PDtoolkit_1.2.0.tgz |
| Old sources: | PDtoolkit archive |
Please use the canonical form https://CRAN.R-project.org/package=PDtoolkit 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.