smbinning: Optimal Binning for Scoring Modeling
The main purpose of the package is to categorize a numeric variable into bins
mapped to a binary target variable for its ulterior usage in scoring modeling.
This functionality reduces dramatically the time consuming process of finding the optimal
cut points for a given numeric variable, quickly calculates the Information Value, either for
one variable at the time or all at once in one line of code; and also outputs 'SQL' codes,
tables, and plots used throughout the development stage.
The package also allows the user to understand the data via exploratory data analysis
in one step, establish customized cut points for numeric characteristics, and run the analysis
for categorical variables.