Package: DstarM 0.4.0.900
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.
Authors:
DstarM_0.4.0.900.tar.gz
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DstarM.pdf |DstarM.html✨
DstarM/json (API)
NEWS
| # Install 'DstarM' in R: |
| install.packages('DstarM', repos = c('https://vandenman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vandenman/dstarm/issues
Last updated 3 years agofrom:feb16e6a70. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 15 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 15 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 15 2024 |
| R-4.4-win-x86_64 | NOTE | Oct 15 2024 |
| R-4.4-mac-x86_64 | NOTE | Oct 15 2024 |
| R-4.4-mac-aarch64 | NOTE | Oct 15 2024 |
| R-4.3-win-x86_64 | NOTE | Oct 15 2024 |
| R-4.3-mac-x86_64 | NOTE | Oct 15 2024 |
| R-4.3-mac-aarch64 | NOTE | Oct 15 2024 |
Exports:battacharyyachisqchisqFitDensityestCdfestDstarMestNDestObservedestQdfgetPdfsgetStergetTerhellingerLBA.densitynormalizeobsQuantilesplotObservedrtDescriptivesrtHistsimDatatestFunupgradeDstarMVoss.densityWiener.density
Dependencies:clicolorspaceDEoptimevdexpmfansifarvergenericsggplot2gluegslgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmsmmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangrtdistsRWienerscalessurvivaltibbleutf8vctrsviridisLitewithr
