# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "binaryRL" in publications use:' type: software license: GPL-3.0-only title: 'binaryRL: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks' version: 0.9.11 doi: 10.32614/CRAN.package.binaryRL abstract: 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: - name: YuKi email: hmz1969a@gmail.com orcid: https://orcid.org/0009-0000-1378-1318 repository: https://yuki-961004.r-universe.dev repository-code: https://github.com/yuki-961004/binaryRL commit: 6078e067425a24fac40a993f1eb375b44e2fe770 url: https://yuki-961004.github.io/binaryRL/ date-released: '2026-03-13' contact: - name: YuKi email: hmz1969a@gmail.com orcid: https://orcid.org/0009-0000-1378-1318