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DstarM: Analyze Two Choice Reaction Time Data with the D*M Method

A collection of functions to estimate parameters of a diffusion model via a D*M analysis. Build in models are: the Ratcliff diffusion model, the RWiener diffusion model, and Linear Ballistic Accumulator models. Custom models functions can be specified as long as they have a density function.

Version: 0.4.0
Imports: DEoptim, RWiener, rtdists, stats, ggplot2, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Published: 2020-08-28
DOI: 10.32614/CRAN.package.DstarM
Author: Don van den Bergh, Stijn Verdonck, Francis Tuerlinckx
Maintainer: Don van den Bergh <donvdbergh at hotmail.com>
BugReports: https://github.com/vandenman/DstarM/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/vandenman/DstarM
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: DstarM results

Documentation:

Reference manual: DstarM.pdf

Downloads:

Package source: DstarM_0.4.0.tar.gz
Windows binaries: r-devel: DstarM_0.4.0.zip, r-release: DstarM_0.4.0.zip, r-oldrel: DstarM_0.4.0.zip
macOS binaries: r-release (arm64): DstarM_0.4.0.tgz, r-oldrel (arm64): DstarM_0.4.0.tgz, r-release (x86_64): DstarM_0.4.0.tgz, r-oldrel (x86_64): DstarM_0.4.0.tgz
Old sources: DstarM archive

Linking:

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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.