prediction and domain specific standards have been established long before the hype of machine learning. Although several commercial software companies offer specific solutions for credit scorecard modelling in R explicit packages for this purpose have been missing long time. In the recent years this has changed and several packages have been developed with an dedicated to credit scoring.The aim of this paper is to give a structured overview on these packages. This may guide users to select the appropriate functions for a desired purpose further hopefully will help reducing redundant development activities in the future. The paper is guided by the chain of subsequent modelling steps as they are forming the typical scorecard development process.
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