Package: binaryRL Version: 0.9.11 Title: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks Description: Tools for building Rescorla-Wagner Models for Two-Alternative Forced Choice tasks, commonly employed in psychological research. Most concepts and ideas within this R package are referenced from Sutton and Barto (2018) . The package allows for the intuitive definition of RL models using simple if-else statements and three basic models built into this R package are referenced from Niv et al. (2012) . Our approach to constructing and evaluating these computational models is informed by the guidelines proposed in Wilson & Collins (2019) . Example datasets included with the package are sourced from the work of Mason et al. (2024) . Authors@R: c(person( given = "YuKi", role = c("aut", "cre"), email = "hmz1969a@gmail.com", comment = c(ORCID = "0009-0000-1378-1318") )) Maintainer: YuKi URL: https://yuki-961004.github.io/binaryRL/ BugReports: https://github.com/yuki-961004/binaryRL/issues License: GPL-3 Encoding: UTF-8 LazyData: TRUE ByteCompile: TRUE RoxygenNote: 7.3.3 Depends: R (>= 4.0.0) Imports: Rcpp, compiler, future, doFuture, foreach, doRNG, progressr LinkingTo: Rcpp Suggests: stats, GenSA, GA, DEoptim, pso, mlrMBO, mlr, ParamHelpers, smoof, lhs, DiceKriging, rgenoud, cmaes, nloptr Repository: https://yuki-961004.r-universe.dev Date/Publication: 2026-03-13 09:13:58 UTC RemoteUrl: https://github.com/yuki-961004/binaryrl RemoteRef: HEAD RemoteSha: 6078e067425a24fac40a993f1eb375b44e2fe770 NeedsCompilation: yes Packaged: 2026-06-11 07:43:36 UTC; root Author: YuKi [aut, cre] (ORCID: )