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Showing content from http://cran.rstudio.com/web/packages/Matrix/../RcppPlanc/../Rcpp/../DMCfun/readme/README.html below:

README

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

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