R Observatory: Metrics for DstarM version 0.5.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DstarM

0.5.0

Analyze Two Choice Reaction Time Data with the D*M Method

0packages depend

7.5Kdownloads / year

52.6%test coverage

8/13checks pass

Overview

About

Maintained by Don van den BerghFirst published 2016-08-296 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("DstarM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("vandenman/DstarM")

Development version from vandenman/DstarM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-dstarm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-DstarM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-DstarM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

5NOTE8OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64

Slowest check: 3.9 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.10

52.6%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

NOTE2026-07-16
10 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 13 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 75%
References docs: 0%

Downloads

7.5K

CRAN downloads in the past year

Rank #5,795 · ~21/day · ~628/mo

Releases R versions

Daily download trend is not available in this view yet.

28230 days

1.4K90 days

7.5K1 year

Compare downloads with other packages →

Also on384 r2u26 autocran

Repository

GitHub ↗ vandenman/dstarm

3Stars

0Forks

1Open issues

0Open PRs

0Releases

97Commits

1Contributors

rhacktoberfest

97 commits · Last activity 2025-04-01

Stars over time

2023-09-09 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/vandenman/dstarm on 2026-08-23.

Continuous integration (1)

GitHub Actions

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (6)

DEoptim RWiener rtdistsstatsggplot2 Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Don van den Bergh

Author, Maintainer

Authors (3)

Don van den Bergh

Author, Maintainer

Francis Tuerlinckx

Author

Stijn Verdonck

Author

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.5.0Latest
2025-04-01 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.4.0
2020-08-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.3.0
2018-05-18 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.2.2
2017-04-30 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.2.1
2017-02-04 · diff ↗
0.1.0
2016-08-29

Show 1 earlier events

R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-08-29
Total releases: 6 / 10 yrs
License: GPL (>= 2) OSI
Download size: 2.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DstarM")

Format

van den Bergh, D., Tuerlinckx, F., & Verdonck, S. (2025). DstarM: Analyze Two Choice Reaction Time Data with the D*M Method (Version 0.5.0) [Computer software]. https://doi.org/10.32614/CRAN.package.DstarM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DstarM version 0.5.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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