PennStateDEPENdLab/fitclock: An R package to fit RT and Reward behavioral data from Michael Frank clock task.
Version 0.8

Object-oriented implementation of the time clock algorithm, a multiple regression-style prediction of reaction time on each trial of the clock task. Implementation fits the standard model including strategic exploration (adapting toward uncertainty) from Frank et al. 2009 Nat Neuro, and also allows for parameters to vary by contingency or run condition (e.g., emotion). Functions are also provided to convolve trial-wise regressors with a hemodynamic response function to generate an fMRI design matrix.

Getting started

Package details

AuthorMichael Hallquist (TC model adapted from M. Frank)
MaintainerMichael Hallquist <[email protected]>
LicenseGPL
Version0.8
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("PennStateDEPENdLab/fitclock")
PennStateDEPENdLab/fitclock documentation built on July 19, 2017, 2:04 p.m.