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Contains functions to help in selecting and exploring features ( or variables ) in binary classification problems. Provides functions to compute and display information value and weight of evidence (WoE) of the variables , and to convert numeric variables to categorical variables by binning. Functions are also provided to determine which levels ( or categories ) of a categorical variable can be collapsed (or combined ) based on their response rates. The functions provided only work for binary classification problems.
| Version: | 0.3.0 |
| Depends: | magrittr |
| Imports: | dplyr, lazyeval, ggplot2 |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-06-04 |
| Author: | Krishanu Mukherjee |
| Maintainer: | Krishanu Mukherjee <toton1181 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | CollapseLevels results |
| Reference manual: | CollapseLevels.pdf |
| Vignettes: |
"CollapseLevels" |
| Package source: | CollapseLevels_0.3.0.tar.gz |
| Windows binaries: | r-devel: CollapseLevels_0.3.0.zip, r-release: CollapseLevels_0.3.0.zip, r-oldrel: CollapseLevels_0.3.0.zip |
| macOS binaries: | r-release (arm64): CollapseLevels_0.3.0.tgz, r-oldrel (arm64): CollapseLevels_0.3.0.tgz, r-release (x86_64): CollapseLevels_0.3.0.tgz, r-oldrel (x86_64): CollapseLevels_0.3.0.tgz |
| Old sources: | CollapseLevels archive |
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