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

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

## Documentation for package ‘Information’ version 0.0.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

Information-package | Data exploration with information theory (weight-of-evidence and information value)
Aggregate | (helper function )Aggregate data for WOE/NWOE calculations
CheckInputs | (helper function) Check user inputs and convert factors to characters. Provide readable reasons if errors are found.
create_infotables | Create WOE/NWOE tables and rank variables by IV/NIV
Information | Data exploration with information theory (weight-of-evidence and information value)
is.binary | (helper function) Calculate cross validation penalty
MultiPlot | (helper function) Plot mutiple WOE vectors on one page
NWOE | Create WOE table (helper function)
penalty | (helper function) Calculate cross validation penalty
plot_infotables | Create bar charts for WOE or NWOE vectors
SinglePlot | (helper function) Plot a WOE or NWOE vector
train | Training dataset
valid | Validation dataset
WOE | Create WOE tables from aggregated data (helper function)