pdp: An R Package for Constructing Partial Dependence …

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CONTRIBUTED RESEARCH ARTICLE421pdp: An R Package for ConstructingPartial Dependence Plotsby Brandon M. GreenwellAbstractComplex nonparametric models like neural networks, random forests, and support vectormachines are more common than ever in predictive analytics, especially when dealing with largeobservational databases that don t adhere to the strict assumptions imposed by traditional statisticaltechniques ( , multiple linear regression which assumes linearity, homoscedasticity, and normality).Unfortunately, it can be challenging to understand the results of such models and explain them tomanagement.

Wiener,2002) and gbm (Ridgeway,2017), among others; these are limited in the sense that they only apply to the models fit using the respective package. For example, the partialPlot function in randomForest only applies to objects of class "randomForest" and the plot function in gbm only applies to "gbm"objects.

  2017, Senses, Packages, Partial, Constructing, Dependence, Package for constructing partial dependence