NEWS

V0.2.2

• Minor housekeeping

V0.2.1

• Support of randomForest and ranger models which have been created using parsnip

• Fix class checking for when formula notation is used in randomForest

V0.2.0

• Significant reduction in compute time for calculating false positive rates by sampling only unique selection frequencies

• Addition of tidy tools (dplyr, tibble, magrittr)

V0.1.1

• internals now implemented in C++ via Rcpp thanks to Dr Jasen Finch (@jasenfinch)

v0.1.0

• Implemented Strategy-1 from Konukoglu,E. and Ganz,M.,2014. Approximate false positive rate control in selection frequency for random forest

• Support for randomForest and ranger forest objects

• Calculate selection frequency threshold for a given false positive rate (alpha)

• False positive rate feature selection

• Wrapper for selection frequencies extract from objects