Package: binaryRL
Version: 0.9.9
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) <ISBN:9780262039246>. 
  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) <doi:10.1523/JNEUROSCI.5498-10.2012>. 
  Our approach to constructing and evaluating these computational models 
  is informed by the guidelines proposed in 
  Wilson & Collins (2019) <doi:10.7554/eLife.49547>. 
  Example datasets included with the package are sourced from the work of
  Mason et al. (2024) <doi:10.3758/s13423-023-02415-x>.
Authors@R: 
  c(person(
    given = "YuKi",
    role = c("aut", "cre"),
    email = "hmz1969a@gmail.com",
    comment = c(ORCID = "0009-0000-1378-1318")
  ))
Maintainer: YuKi <hmz1969a@gmail.com>
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
NeedsCompilation: yes
Packaged: 2026-01-08 05:31:03 UTC; hmz19
Author: YuKi [aut, cre] (ORCID: <https://orcid.org/0009-0000-1378-1318>)
Repository: CRAN
Date/Publication: 2026-01-08 09:00:07 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-03-17 03:21:54 UTC; windows
Archs: x64
