Package: latentState
Title: Simulate Outcomes of a Latent State Reinforcement Learning Model
Version: 1.0.0
Authors@R: 
    person("Martin", "Benada", , "martinibenada@gmail.com", role = c("aut", "cre"))
Description: 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.
License: GPL (>= 3)
URL: https://osf.io/2whcu
Encoding: UTF-8
RoxygenNote: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-08 19:41:12 UTC; marti
Author: Martin Benada [aut, cre]
Maintainer: Martin Benada <martinibenada@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-17 09:30:09 UTC
Built: R 4.6.1; ; 2026-09-17 10:57:35 UTC; unix
