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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.