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DstarM
View on CRAN: Click
here
Download and install DstarM package within the R console
Install from CRAN:
install.packages("DstarM")
Install from Github:
library("remotes")
install_github("cran/DstarM") Install by package version:
library("remotes")
install_version("DstarM", "0.5.0") Attach the package and use:
library("DstarM")
Maintained by
Don van den Bergh
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-29
Latest Update: 2025-04-01
Description:
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.
How to cite:
Don van den Bergh (2016). DstarM: Analyze Two Choice Reaction Time Data with the D*M Method. R package version 0.5.0, https://cran.r-project.org/web/packages/DstarM. Accessed 26 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for DstarM
Functions, R codes and Examples using
the DstarM R package
Some associated functions: Density . Voss.density . chisq . chisqFit . estCdf . estDstarM . estND . estObserved . estQdf . getPdfs . getSter . getTer . normalize . obsQuantiles . plotObserved . rtDescriptives . rtHist . simData . testFun . upgradeDstarM .
Some associated R codes: Densities.R . Distances.R . DstarMcoef.R . DstarMmethods.R . DstarMmethodsDeprecated.R . RcppExports.R . byParticipant.R . calcIC.R . chisqFit.R . estCdf.R . estDensities.R . estDstarM.R . estND.R . estObserved.R . estQdf.R . getOptim.R . getPdfs.R . getSter.R . getTer.R . normalize.R . obsQuantiles.R . plotObserved.R . rtDescriptives.R . rtHist.R . simData.R . testFun.R . utilities.R . Full DstarM package functions and examples
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