This package builds methods to aid with binary classification through logistic regression based methods (including GLMNet and GAMS), particularly focused on applications in credit scoring. It provides methods for supervised and unsupervised binning, single factor screening using information values and a variable selection based on marginal information values.
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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