Simulate Outcomes of a Latent State Reinforcement Learning Model R package latentState version 1.0.0 Simulates outcomes of an updated version of the latent state reinforcement learning model originally described in Cochran and Cisler (2019) <doi:10.1371/journal.pcbi.1007331>. The package is designed to create results under all reasonable experiment setups, including different reinforcement schedules, number of cues, number of phases, and number of options per trial. Participants can be simulated using either fixed parameters or parameters drawn from a distribution. Software Martin Benada <martinibenada@gmail.com> Comprehensive R Archive Network (CRAN) Martin Benada [aut, cre] GPL (>= 3) 2026-09-17 application/tgz https://CRAN.R-project.org/package=latentState doi:10.32614/CRAN.package.latentState