PCSinR: Parallel Constraint Satisfaction Networks in R

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Parallel Constraint Satisfaction (PCS) models are an increasingly common class of models in Psychology, with applications to reading and word recognition (McClelland & Rumelhart, 1981), judgment and decision making (Glöckner & Betsch, 2008; Glöckner, Hilbig, & Jekel, 2014), and several other fields (e.g. Read, Vanman, & Miller, 1997). 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.

Author
Felix Henninger [aut, cre]
Date of publication
2016-10-19 22:12:25
Maintainer
Felix Henninger <mailbox@felixhenninger.com>
License
GPL (>= 3)
Version
0.1.0
URLs

View on CRAN

Man pages

PCS_convergence_McCandR
Check a PCS network for convergence
PCSinR
PCS: Parallel Constraint Satisfaction networks in R
PCS_run
Simulate the run of a PCS model
PCS_run_from_interconnections
Simulate the run of a PCS model based on only the...

Files in this package

PCSinR
PCSinR/tests
PCSinR/tests/testthat.R
PCSinR/tests/testthat
PCSinR/tests/testthat/test_MJ.r
PCSinR/NAMESPACE
PCSinR/NEWS.md
PCSinR/R
PCSinR/R/api.r
PCSinR/R/PCS.r
PCSinR/R/core.r
PCSinR/R/convergence.r
PCSinR/R/helpers.r
PCSinR/README.md
PCSinR/MD5
PCSinR/DESCRIPTION
PCSinR/man
PCSinR/man/PCS_run.Rd
PCSinR/man/PCS_run_from_interconnections.Rd
PCSinR/man/PCS_convergence_McCandR.Rd
PCSinR/man/PCSinR.Rd