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datafsm 0.2.4

  • 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/.

datafsm 0.2.3

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

datafsm 0.2.2

  • 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).

datafsm 0.2.1

  • Updated tests to work with forthcoming testthat version 2.0.0

datafsm 0.2.0

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

datafsm 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.

datafsm 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.

datafsm 0.1

First release of package.