Formal Psychological Models of Categorization and Learning

Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.


Formal Psychological Models of Categorization and Learning

Catlearn is an archive of formal models of categorization and learning, plus benchmark datasets to test them against. It's also an archive of simulations using those models. It's free and open source software ... and always will be.

Catlearn is a package for R, and is very easy to install within that environment. For a tutorial introduction to catlearn, and the Open Models initiative more generally, see Wills et al. (2017). There is also some information about catlearn on R-forge

Installing the stable version

Make sure you're running the latest version of R and then type:

install.packages('catlearn')

and then

library(catlearn).

Installing the latest (unstable) version

If you're not sure what "unstable" means in this context, you probably want to install the stable version instead. If you're sure you want the unstable version, first install devtools and its dependencies. Then run:

devtools::install_github("ajwills72/catlearn")

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Reference manual

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install.packages("catlearn")

0.6.2 by Andy Wills, 2 months ago


Browse source code at https://github.com/cran/catlearn


Authors: Andy Wills , Lenard Dome , Charlotte Edmunds , Garrett Honke , Angus Inkster , René Schlegelmilch , Stuart Spicer


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, doParallel, foreach, tidyr, dplyr

Suggests testthat

Linking to Rcpp


See at CRAN