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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 |
| 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 |
| Reference manual: | DstarM.pdf |
| 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 |
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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.
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