Cognitivemodels

Cognitivemodels is an R packages that provides a number of cognitive models, using a formula interface similar to the aov- or lm-syntax. The models can be fit to data by maximum likelihood, minimum MSE, and more fit measures using optimization routines like rsolnp or Nelder-Mead, and various others. Also, the package provides a model development back end: a class that you can use to develop new cognitive models easily.

News

For new features in the latest package version, see NEWS.

Getting Started and Installation

To use this package, ensure you have a working installation of R and the Rcpp package, install.packages("Rcpp"), for problems see Installation Troubleshooting

    library(devtools)
    install.packages("matlib")
    install.packages("Rcpp")

    # ---------------------------------------------
    # Restart the R session after installing matlib
    # ----------------------------------------------
    
    devtools::install_github("janajarecki/cognitivemodels")

You will see a prompt, please type Yes into the console.

    Do you want to install from sources the packages which need compilation? (Yes/no/cancel) 

(Optional) This installs the latest development version of the package:

    devtools::install_github("janajarecki/cognitivemodels" ref = "development")

To use the package:

    library(cognitivemodels)

Installation Troubleshooting

Here are some error messages during the installation and how to troubleshoot them:

• Error: Failed to install 'cognitivemodels' from GitHub: Could not find tools necessary to compile a package Call pkgbuild::check_build_tools(debug = TRUE) to diagnose the problem. Solution: In R, you must run options(buildtools.check = function(action) TRUE ) to solve the problem, more details see here
• Error: xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: Solution You need to install xcode which you do on Mac by opening the terminal and running xcode-select --install to install the command lines tools package more details on stackoverflow

Models in this Package

The following models are implemented:

Model	Reference	Documentation of the Function
Memory-based preference model	Jarecki & Rieskamp (submitted)	?mem
Generalized context model	Medin & Schaffer (1976); Nosofsky (1986)	?ebm
Optimal risk-sensitive foraging model	Houston & McNamara (1988)	?hm1988
Cumulative prospect theory	Kahneman & Tversky (1979); Tversky & Kahneman (1992)	?cpt
Bayesian cognitive model	Hoffart, Jarecki, Duthil, & Rieskamp (under review)	?bayes
Power utility	Tversky (1967); Wakker (2008)	?utility_pow
Soft-max choice rule	Sutton & Barto (1998)	?softmax
Arg-max choice rule		?argmax
Epsilon-greedy choice rule		?epsilon
Baseline model		?baseline
Shortfall model	Andraszewicz (2014)	?shortfall

Authors

Jana B. Jarecki,
Florian I. Seitz

License

This project is licensed under CC-By Attribution 4.0 International