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DMCfun

R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions (https://www.sciencedirect.com/science/article/pii/S0010028515000195)

CRAN https://cran.r-project.org/web/packages/DMCfun/index.html

The package is presented in the following paper:

https://www.sciencedirect.com/science/article/pii/S259026012100031X

Installation

# install version from CRAN
install.packages("DMCfun")
library(DMCfun)

# install version from  GitHub
# install.packages("devtools")
devtools::install_github("igmmgi/DMCfun")

Basic Examples DMC Simulation

dmc <- dmcSim(fullData = TRUE)
plot(dmc)
alt text 
dmc$means
  Comp   rtCor sdRtCor perErr rtErr sdRtErr
1 comp    440.   105.   0.633  479.   104.
2 incomp  459.    94.8  1.38   406.    95.2
dmc <- dmcSim(fullData = TRUE, tau = 150)
plot(dmc)
alt text 
dmc$means
  Comp   rtCor sdRtCor perErr rtErr sdRtErr
1 comp    421.    90.4  0.259  504.   119.
2 incomp  484.   103.   2.37   425.    82.7
params <- list(tau = seq(20, 170, 10))
dmc <- dmcSims(params)
plot(dmc, ncol = 2, col = c("red", "green"))
alt text

Basic Examples DMC Fit: Real data using optimx (Nelder-Mead)

fit <- dmcFit(flankerData) # flanker data from Ulrich et al. (2015)
plot(fit, flankerData)
alt text 
summary(fit)
    amp   tau   drc  bnds resMean resSD aaShape spShape sigm  rmse
1  19.3  98.8 0.593  55.8    325.  28.4    2.26    2.84     4  8.91
fit <- dmcFit(simonData) # simon data from Ulrich et al. (2015)
plot(fit, simonData)
alt text 
    amp   tau  drc  bnds resMean resSD aaShape spShape sigm  RMSE
1 16.91 47.77 0.59 56.68  317.16 33.43    1.68    3.53    4 10.01

Basic Examples DMC Fit: Real data using DEoptim

fit <- dmcFitDE(flankerData) # flanker data from Ulrich et al. (2015)
plot(fit, flankerData)
alt text 
summary(fit)
    amp    tau  drc  bnds resMean resSD aaShape spShape sigm RMSE
1 17.26 222.19 0.64 57.49  328.06 28.41     1.7    2.18    4 5.79
fit <- dmcFitDE(simonData) # simon data from Ulrich et al. (2015)
plot(fit, simonData)
alt text 
    amp   tau  drc  bnds resMean resSD aaShape spShape sigm RMSE
1 14.31 42.29 0.55 57.54  308.63 25.98    2.15    3.56    4 8.86

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.