Changes in version 0.2.5                        

  - Updated CITATION file to use new specifications.

                 Changes in version 0.2.4 (2021-05-29)                  

  - Fix error in testing where I created a matrix from a vector of
    length 8 specifying 2 columns and 2 rows.
  - Fix obsolete URL http://www.jstatsoft.org to
    https://www.jstatsoft.org.
  - Use new \doi tag for sources in Rd documentation where the URL
    pointed to https://doi.org/.

                 Changes in version 0.2.3 (2019-11-28)                  

  - Replace dependency on the tidyverse package with dependencies on the
    specific packages from tidyverse: dplyr, tidyr, and purrr.

                 Changes in version 0.2.2 (2018-08-08)                  

  - Rewrote covariate testing in fitnessCPP to fix memory access errors.
  - Added new vignette, giving an example using real data from
    Fudenberg, Rand, and Dreber.
  - Change progress reports to use message() and warning() instead of
    print() and cat()
  - Added new data set with iterated prisoner's dilemma games from Nay
    and Vorobeychik (2016).

                 Changes in version 0.2.1 (2017-10-20)                  

  - Updated tests to work with forthcoming testthat version 2.0.0

                 Changes in version 0.2.0 (2017-06-17)                  

  - Updated to use new R native-routine registration and disable symbol
    search using Rcpp::compileAttributes().

                        Changes in version 0.1.2                        

  - Fixed line dropping NZV vars (line 211 of evolve_model.R)
  - Changed all occurrences of maxfitness to maxFitness to comply with
    new GA version soon to be on CRAN.

                        Changes in version 0.1.1                        

Second release of package.

  - Updated vignette to properly simulate tit-for-tat data, and set a
    seed. Added FRD data vignette to show more advanced use of package
    on real data.
  - Changed stop to warning if length(names) > 3. Added some text to
    stop() for ncol(data) != inputs.
  - Made var_imp more modular.
  - Took out core computation and put it in its own function.
  - Added a var_imp2() function that uses output of this new
    importance() function and returns results for every element of state
    matrix, not just the colSums and puts that in a new slot in the main
    object called varImp2 var_imp2() returns raw performance scores.
  - Added documentation for varImp2. Added check for another (4th)
    covariate value in C++.
  - Test for main function now expects a warning rather than an error
    for when we have more than 3 predictors.
  - Biggest change: Added evolve_model_ntimes() function to run
    evolve_model() n times and return either the best or all of them,
    depending on user specification.
  - In evolve_model() instead of missing(), now use is.null() so
    evolve_model can be called inside other functions easily.

                         Changes in version 0.1                         

First release of package.