Software

Below are some of the software packages developed in the Cohen Cognition Lab

R Packages


To install the packages in R, first install “devtools” as follows: install.packages(“devtools”)


A Robust Random Walk r-package that Dr. Cohen developed to instantiate the assumptions of Psychological Value theory.

To install in R:
devtools::install_github(“ccpluncw/ccpl_R_RRW”)


chutils

GitHub Link

A utility r-package that Dr. Cohen developed to facilitate programming other packages.

To install in R:
devtools::install_github(“ccpluncw/ccpl_R_chutils”)


chValues

GitHub Link

An r-package that Dr. Cohen developed with the functions required to process raw Psychology Value data.

To install in R:
devtools::install_github(“ccpluncw/ccpl_R_chValues”)


chMorals

GitHub Link

An r-package that Dr. Cohen developed with the functions required to relate Psychology Value data to choice data.

To install in R:
devtools::install_github(“ccpluncw/ccpl_R_chMorals”)


SmartGrid Search

GitHub Link

A smart grid search optimization r-package that Dr. Cohen developed. This is used to optimize the parameters of simulations when fitting to behavioral data.

To install in R:
devtools::install_github(“ccpluncw/ccpl_R_smartGridSearch”)


A utilities package to create the necessary files to run experiments using the QuinlanCohenExperiment suite that runs experiments over the internet (not yet open sourced).

To install in R:
devtools::install_github(“ccpluncw/ccpl_R_QCEB”


Other Software


Cohen Ray Number-Line Task

GitHub Link

The Cohen Ray number-line task provides experimenters a quick and easy tool for presenting and collecting data on the bounded and unbounded number-line task with all the controls we use in our lab.

Cohen, D. J., & Ray, A. (2020). Experimental bias in number-line tasks and how to avoid them: Comment on Kim and Opfer (2017) and the introduction of the Cohen Ray number-line task. Developmental Psychology, 56(4), 846–852. https://doi.org/10.1037/dev0000761