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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PCSinR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'PCSinR: Parallel Constraint Satisfaction Networks in R'
version: 0.1.0
doi: 10.32614/CRAN.package.PCSinR
abstract: Parallel Constraint Satisfaction (PCS) models are an increasingly common
  class of models in Psychology, with applications to reading and word recognition
  (McClelland & Rumelhart, 1981; \doi10.1037/0033-295X.88.5.375), judgment and decision
  making (Glöckner & Betsch, 2008 \urlhttp://journal.sjdm.org/bn3.pdf; Glöckner, Hilbig,
  & Jekel, 2014 \doi10.1016/j.cognition.2014.08.017), and several other fields. In
  each of these fields, they provide a quantitative model of psychological phenomena,
  with precise predictions regarding choice probabilities, decision times, and often
  the degree of confidence. This package provides the necessary functions to create
  and simulate basic Parallel Constraint Satisfaction networks within R.
authors:
- family-names: Henninger
  given-names: Felix
  email: mailbox@felixhenninger.com
- family-names: Heck
  given-names: Daniel W.
  email: dheck@mail.uni-mannheim.de
repository: https://felixhenninger.r-universe.dev
repository-code: https://github.com/felixhenninger/PCSinR
commit: 5787aa3107989f41c164b1c3804a40f173c81b1a
url: https://github.com/felixhenninger/PCSinR
contact:
- family-names: Henninger
  given-names: Felix
  email: mailbox@felixhenninger.com