Package: PCSinR Title: Parallel Constraint Satisfaction Networks in R Version: 0.2.0 Authors@R: c( person("Felix", "Henninger", role = c("aut", "cre"), email= "mailbox@felixhenninger.com", comment = c(ORCID = "0000-0002-7730-9511")), person("Daniel W.", "Heck", role = c("aut"), email="daniel.heck@uni-marburg.de", comment = c(ORCID = "0000-0002-6302-9252")) ) URL: https://github.com/felixhenninger/PCSinR Description: Parallel Constraint Satisfaction (PCS) models are an increasingly common class of models in Psychology, with applications to reading and word recognition (McClelland & Rumelhart, 1981; \doi{10.1037/0033-295X.88.5.375}), judgment and decision making (Glöckner & Betsch, 2008 \doi{10.1017/S1930297500002424}; Glöckner, Hilbig, & Jekel, 2014 \doi{10.1016/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. Depends: R (>= 3.3.1) License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.3 Suggests: testthat Repository: https://felixhenninger.r-universe.dev Date/Publication: 2026-03-18 14:12:38 UTC RemoteUrl: https://github.com/felixhenninger/pcsinr RemoteRef: HEAD RemoteSha: dbe708debe89d6372d8ecd77b525d992a754af24 NeedsCompilation: no Packaged: 2026-10-14 06:58:05 UTC; root Author: Felix Henninger [aut, cre] (ORCID: ), Daniel W. Heck [aut] (ORCID: ) Maintainer: Felix Henninger