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steprf (version 1.0.2)

Stepwise Predictive Variable Selection for Random Forest

Description

An introduction to several novel predictive variable selection methods for random forest. They are based on various variable importance methods (i.e., averaged variable importance (AVI), and knowledge informed AVI (i.e., KIAVI, and KIAVI2)) and predictive accuracy in stepwise algorithms. For details of the variable selection methods, please see: Li, J., Siwabessy, J., Huang, Z. and Nichol, S. (2019) . Li, J., Alvarez, B., Siwabessy, J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., Nichol, S. (2017). .

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Install

install.packages('steprf')

Monthly Downloads

160

Version

1.0.2

License

GPL (>= 2)

Maintainer

Jin Li

Last Published

June 29th, 2022