Package: DstarM 0.5.0

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.zip(r-4.7)DstarM_0.5.0.zip(r-4.6)DstarM_0.5.0.zip(r-4.5)
DstarM_0.5.0.tgz(r-4.6-x86_64)DstarM_0.5.0.tgz(r-4.6-arm64)DstarM_0.5.0.tgz(r-4.5-x86_64)DstarM_0.5.0.tgz(r-4.5-arm64)
DstarM_0.5.0.tar.gz(r-4.7-arm64)DstarM_0.5.0.tar.gz(r-4.6-arm64)DstarM_0.5.0.tar.gz(r-4.7-x86_64)DstarM_0.5.0.tar.gz(r-4.6-x86_64)
DstarM_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

hacktoberfest openblas cpp

3.41 score 3 stars 17 scripts 613 downloads 1 mentions 24 exports 36 dependencies

Last updated from:a684eaf540. Checks:11 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	166
source / vignettes	OK	219
linux-release-x86_64	OK	159
macos-release-arm64	OK	234
macos-release-x86_64	OK	640
macos-oldrel-arm64	OK	201
macos-oldrel-x86_64	OK	293
windows-devel	OK	399
windows-release	OK	144
windows-oldrel	OK	142
wasm-release	OK	119

Exports:battacharyya chisq chisqFit Density estCdf estDstarM estND estObserved estQdf getPdfs getSter getTer hellinger LBA.density normalize obsQuantiles plotObserved rtDescriptives rtHist simData testFun upgradeDstarM Voss.density Wiener.density

Dependencies:cli cpp11 DEoptim evd expm farver generics ggplot2 glue gsl gtable isoband labeling lattice lifecycle magrittr Matrix msm mvtnorm pillar pkgconfig R6 RColorBrewer Rcpp RcppArmadillo rlang rtdists RWiener S7 scales survival tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculates the distance between two probability densities.	battacharyya chisq hellinger
Calculate model fit	chisqFit
Density function	Density
Estimate cumulative distribution for D*M models	estCdf
Do a D*M analysis	estDstarM
Estimate nondecision density	estND
Estimate observed data density	estObserved
Estimate quantiles of distribution	estQdf
(Re)Calculate model densities with given parameters and time grid	getPdfs
Estimate variance of nondecision density	getSter
Calculate Mean of the nondecision distribution.	getTer
Normalize two pdfs	normalize
Calculate model fit	obsQuantiles
Plot quantiles of data against model implied quantiles.	plotObserved
Descriptives of reaction time data	rtDescriptives
Make histograms of reaction time data	rtHist
Simulate data from a given density function via multinomial sampling	simData
Test fun.density with lower and upper bounds	testFun
Upgrade a DstarM object for backwards compatibility	upgradeDstarM
Calculate model density for a given set of parameters	LBA.density Voss.density Wiener.density