DDModeling

DDModeling is an R packet. Its goal is to give researchers access to an easy-to-use toolkit for the simulation and fitting of drift-diffusion models in cognitive psychology.

Installation

You can install the released version of DDModeling from GitHub

# install.packages("devtools")
devtools::install_github("Pelzer402/DDModeling")

Example

This is a basic example to show you how to generate a drift diffusion model and conduct a simulation with it

library(DDModeling)
# First specify a model
DSTP_M1 <-  DDModel(model="DSTP",task="flanker",
                    CDF_perc = c(0.1,0.3,0.5,0.7,0.9),CAF_perc = c(0.0,0.2,0.4,0.6,0.8,1.0))
# Now simulate some data
R1 <- Sim_DDModel(model = DSTP_M1,trials = 10000L)

More Information

For more information visit the projects website here