Package: multiRL
Version: 0.3.7
Title: Reinforcement Learning Tools for Multi-Armed Bandit
Description: 
  A flexible general-purpose toolbox for implementing Rescorla-Wagner models 
    in multi-armed bandit tasks. 
  As the successor and functional extension of the 'binaryRL' package, 
    'multiRL' modularizes the Markov Decision Process (MDP) into six core 
    components. This framework enables users to construct custom models via 
    intuitive if-else syntax and define latent learning rules for agents. 
  For parameter estimation, it provides both likelihood-based 
    inference (MLE and MAP) and simulation-based inference (ABC and 
    RNN), with full support for parallel processing across subjects. 
  The workflow is highly standardized, featuring four main functions 
    that strictly follow the four-step protocol (and ten rules) 
    proposed by Wilson & Collins (2019) <doi:10.7554/eLife.49547>. 
  Beyond the three built-in models (TD, RSTD, and Utility), users 
    can easily derive new variants by declaring which variables are 
    treated as free parameters.
Authors@R: 
  c(
    person(
      given = "YuKi",
      role = c("aut", "cre"),
      email = "hmz1969a@gmail.com",
      comment = c(ORCID = "0009-0000-1378-1318")
    ),
    person(
      given = "Xinyu",
      role = "aut",
      email = "xinyu000328@gmail.com",
      comment = c(ORCID = "0009-0004-4974-9191")
    )
  )
Maintainer: YuKi <hmz1969a@gmail.com>
URL: https://yuki-961004.github.io/multiRL/
BugReports: https://github.com/yuki-961004/multiRL/issues
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
ByteCompile: TRUE
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: methods, utils, Rcpp, compiler, future, doFuture, foreach,
        doRNG, progressr, ggplot2, scales, grDevices
LinkingTo: Rcpp
Suggests: stats, GenSA, GA, DEoptim, pso, mlrMBO, mlr, ParamHelpers,
        smoof, lhs, DiceKriging, rgenoud, cmaes, nloptr, abc, pls,
        reticulate, keras, keras3
NeedsCompilation: yes
Packaged: 2026-03-31 10:48:12 UTC; hmz19
Author: YuKi [aut, cre] (ORCID: <https://orcid.org/0009-0000-1378-1318>),
  Xinyu [aut] (ORCID: <https://orcid.org/0009-0004-4974-9191>)
Repository: CRAN
Date/Publication: 2026-03-31 11:00:02 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-04-30 03:15:32 UTC; windows
Archs: x64
