Package: SimSST 0.0.5.2

Chel Hee Lee

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) <https://hdl.handle.net/1807/101208>, 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>.

Authors:Mohsen Soltanifar [aut], Chel Hee Lee [cre, aut]

SimSST_0.0.5.2.tar.gz
SimSST_0.0.5.2.tar.gz(r-4.5-noble)SimSST_0.0.5.2.tar.gz(r-4.4-noble)
SimSST_0.0.5.2.tgz(r-4.4-emscripten)SimSST_0.0.5.2.tgz(r-4.3-emscripten)
SimSST.pdf |SimSST.html
SimSST/json (API)

# Install 'SimSST' in R:
install.packages('SimSST', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 1 stars 6 scripts 134 downloads 3 exports 18 dependencies

Last updated 2 years agofrom:eecaf87b86. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linuxOKDec 14 2024

Exports:simssfixedsimssgensimsstrack

Dependencies:clidplyrfansigamlss.distgenericsgluelifecyclemagrittrMASSpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

SimSST Examples

Rendered fromSimSST_Examples.Rmdusingknitr::rmarkdownon Dec 14 2024.

Last update: 2023-01-09
Started: 2022-12-09