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: 2026-09-18 08:59:45 UTC; root
Author: Martin Benada [aut, cre]
Maintainer: Martin Benada <martinibenada@gmail.com>
Repository: https://martin2002-ux.r-universe.dev
Date/Publication: 2026-09-17 09:30:09 UTC
RemoteUrl: https://github.com/cran/latentState
RemoteRef: HEAD
RemoteSha: d3a3ccd257bb195eb839077d9a53164f77ebb7c5