SimSST: Simulated Stop Signal Task Data

Stop signal task data of go and stop trials is generated per participant. The simulation process is based on the generally non-independent horse race model and fixed stop signal delay or tracking method. Each of go and stop process is assumed having exponentially modified Gaussian(ExG) or Shifted Wald (SW) distributions. The output data can be converted to 'BEESTS' software input data enabling researchers to test and evaluate various brain stopping processes manifested by ExG or SW distributional parameters of interest. Methods are described in: Soltanifar M (2020) <>, Matzke D, Love J, Wiecki TV, Brown SD, Logan GD and Wagenmakers E-J (2013) <doi:10.3389/fpsyg.2013.00918>, Logan GD, Van Zandt T, Verbruggen F, Wagenmakers EJ. (2014) <doi:10.1037/a0035230>.

Imports: dplyr, gamlss.dist, MASS, stats
Suggests: knitr, rmarkdown
Published: 2023-01-09
DOI: 10.32614/CRAN.package.SimSST
Author: Mohsen Soltanifar ORCID iD [aut], Chel Hee Lee ORCID iD [cre, aut]
Maintainer: Chel Hee Lee <chelhee.lee at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: SimSST results


Reference manual: SimSST.pdf
Vignettes: SimSST Examples


Package source: SimSST_0.0.5.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SimSST_0.0.5.2.tgz, r-oldrel (arm64): SimSST_0.0.5.2.tgz, r-release (x86_64): SimSST_0.0.5.2.tgz, r-oldrel (x86_64): SimSST_0.0.5.2.tgz
Old sources: SimSST archive


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