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:Don van den Bergh, Stijn Verdonck, Francis Tuerlinckx

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DstarM/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/vandenman/dstarm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

hacktoberfest

3.41 score 3 stars 17 scripts 219 downloads 1 mentions 24 exports 40 dependencies

Last updated 3 years agofrom:feb16e6a70. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64NOTENov 14 2024
R-4.5-linux-x86_64NOTENov 14 2024
R-4.4-win-x86_64NOTENov 14 2024
R-4.4-mac-x86_64NOTENov 14 2024
R-4.4-mac-aarch64NOTENov 14 2024
R-4.3-win-x86_64NOTENov 14 2024
R-4.3-mac-x86_64NOTENov 14 2024
R-4.3-mac-aarch64NOTENov 14 2024

Exports:battacharyyachisqchisqFitDensityestCdfestDstarMestNDestObservedestQdfgetPdfsgetStergetTerhellingerLBA.densitynormalizeobsQuantilesplotObservedrtDescriptivesrtHistsimDatatestFunupgradeDstarMVoss.densityWiener.density

Dependencies:clicolorspaceDEoptimevdexpmfansifarvergenericsggplot2gluegslgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmsmmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangrtdistsRWienerscalessurvivaltibbleutf8vctrsviridisLitewithr