Changes in version 0.2.3                        

  - Minor housekeeping

                 Changes in version 0.2.2 (2022-02-09)                  

  - Minor housekeeping

                 Changes in version 0.2.1 (2019-11-18)                  

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

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

                 Changes in version 0.2.0 (2018-07-20)                  

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

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

                 Changes in version 0.1.1 (2018-02-19)                  

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

                        Changes in version 0.1.0                        

  - 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