binnr is an R package that helps modelers build scorecards. Scorecard models need to be more than predictive. Regulatory oversight often necessitates they be transparent as well. Model transparency is difficult to enforce in more predictive, non-linear methods such as neural networks, random forest, or gradient boosted decision trees. Often direct modeler intervention is required to ensure proper treatment is given for values of independent variables. binnr makes it easy to do just that.
|Maintainer||Eric Graves <email@example.com>|
|Package repository||View on GitHub|
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