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Data Exploration with Information Theory (Weight-of-Evidence and Information Value)

Installation

About

Performs exploratory data analysis and variable screening for binary classification models using weight-of-evidence (WOE) and information value (IV). In order to make the package as efficient as possible, aggregations are done in data.table and creation of WOE vectors can be distributed across multiple cores. The package also supports exploration for uplift models (NWOE and NIV).

Key Metrics

Version 0.0.9
R ≥ 3.1.2
Published 2016-04-09 2942 days ago
Needs compilation? no
License GPL (≥ 3)
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Maintainer

Maintainer

Larsen Kim

kblarsen4@gmail.com

Authors

Larsen Kim

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Information Package Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Information archive

Depends

R ≥ 3.1.2

Imports

data.table
ggplot2
grid
plyr
utils
iterators
doParallel
parallel
foreach

Suggests

knitr
reshape2
ClustOfVar
rmarkdown