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PCSinR  

Parallel Constraint Satisfaction Networks in R
View on CRAN: Click here


Download and install PCSinR package within the R console
Install from CRAN:
install.packages("PCSinR")

Install from Github:
library("remotes")
install_github("cran/PCSinR")

Install by package version:
library("remotes")
install_version("PCSinR", "0.2.0")



Attach the package and use:
library("PCSinR")
Maintained by
Felix Henninger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-19
Latest Update: 2016-10-19
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), judgment and decision making (Gl
How to cite:
Felix Henninger (2016). PCSinR: Parallel Constraint Satisfaction Networks in R. R package version 0.2.0, https://cran.r-project.org/web/packages/PCSinR. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 0.1.0 (2016-10-19 22:12)
Other packages that cited PCSinR R package
View PCSinR citation profile
Other R packages that PCSinR depends, imports, suggests or enhances
Complete documentation for PCSinR
Functions, R codes and Examples using the PCSinR R package
Some associated functions: PCS_convergence_McCandR . PCS_run . PCS_run_from_interconnections . PCSinR . 
Some associated R codes: Full PCSinR package functions and examples
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