Package: DstarM 0.5.0

Don van den Bergh

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 [aut, cre], Stijn Verdonck [aut], Francis Tuerlinckx [aut]

DstarM_0.5.0.tar.gz
DstarM_0.5.0.tar.gz(r-4.5-noble)DstarM_0.5.0.tar.gz(r-4.4-noble)
DstarM_0.5.0.tgz(r-4.4-emscripten)DstarM_0.5.0.tgz(r-4.3-emscripten)
DstarM.pdf |DstarM.html✨
DstarM/json (API)
NEWS

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

Bug tracker:https://github.com/vandenman/dstarm/issues0 issues

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

On CRAN:

Conda:

openblascpp

1.70 score 214 downloads 1 mentions 24 exports 40 dependencies

Last updated 2 days agofrom:134139e242. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-linux-x86_64OKApr 01 2025
R-4.4-linux-x86_64OKApr 01 2025

Exports:battacharyyachisqchisqFitDensityestCdfestDstarMestNDestObservedestQdfgetPdfsgetStergetTerhellingerLBA.densitynormalizeobsQuantilesplotObservedrtDescriptivesrtHistsimDatatestFunupgradeDstarMVoss.densityWiener.density

Dependencies:clicolorspaceDEoptimevdexpmfansifarvergenericsggplot2gluegslgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmsmmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangrtdistsRWienerscalessurvivaltibbleutf8vctrsviridisLitewithr

Citation

To cite package ‘DstarM’ in publications use:

van den Bergh D, Verdonck S, Tuerlinckx F (2025). DstarM: Analyze Two Choice Reaction Time Data with the D*M Method. R package version 0.5.0, https://CRAN.R-project.org/package=DstarM.

Corresponding BibTeX entry: 

  @Manual{,
    title = {DstarM: Analyze Two Choice Reaction Time Data with the D*M
      Method},
    author = {Don {van den Bergh} and Stijn Verdonck and Francis
      Tuerlinckx},
    year = {2025},
    note = {R package version 0.5.0},
    url = {https://CRAN.R-project.org/package=DstarM},
  }