# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "latentState" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'latentState: Simulate Outcomes of a Latent State Reinforcement Learning Model'
version: 1.0.0
doi: 10.32614/CRAN.package.latentState
abstract: Simulates outcomes of an updated version of the latent state reinforcement
  learning model originally described in Cochran and Cisler (2019) <https://doi.org/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.
authors:
- family-names: Benada
  given-names: Martin
  email: martinibenada@gmail.com
repository: https://martin2002-ux.r-universe.dev
commit: d3a3ccd257bb195eb839077d9a53164f77ebb7c5
url: https://osf.io/2whcu
date-released: '2026-09-17'
contact:
- family-names: Benada
  given-names: Martin
  email: martinibenada@gmail.com