R Observatory: Metrics for MDDC version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MDDC

1.1.0Package record

Modified Detecting Deviating Cells Algorithm in Pharmacovigilance

0packages depend

2.3Kdownloads / year

99.0%test coverage

13/13flavors OK

Overview

About

Maintained by Anran LiuCRAN page ↗GitHub ↗Issues ↗

Methods for detecting signals related to (adverse event, medical product e.g. drugs, vaccines) pairs, a data generation function for simulating pharmacovigilance datasets, and various utility functions. For more details please see Liu A., Mukhopadhyay R., and Markatou M. doi:10.48550/arXiv.2410.01168.

Install

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

install.packages("MDDC", 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("niuniular/MDDC")

Development version from niuniular/MDDC. 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-mddc

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-MDDC

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-MDDC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.7 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 446 wordsVignettesYes · 1 · dynamicNEWS· In the repository, left out of the releaseCitation fileYes · cites a publication

Help pages: 16includes a package overview page
Examples that run: 93%14 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 13%

Vignettes (1)

Usage Examples for MDDC in R HTML

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #22,208 · ~6/day · ~191/mo

Releases R versions

Daily download trend is not available in this view yet.

18330 days

60490 days

2.3K1 year

Compare downloads with other packages →

Also on337 r2u5 autocran

How downloads are counted

Repository

niuniular/mddc ↗Account: niuniular

4Stars

2Forks

0Open issues

0Open PRs

0Releases

131Commits

1Commit identities

pharmacovigilance

License file reads as GPL-3.0 · 131 commits · Last activity 2025-04-07 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-07-15 · 22026-07-08 · 4

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/niuniular/mddc on 2026-10-25.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (2)

Code of conductContributing guide

Docs source (3)

pkgdown

GitHub Pages site last deployed 2025-04-07 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 1 practice

Research and citation (1)

codemeta.json

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing MDDC adds 22 packages (9 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.5.0

Imports (6)

doParallel foreach ggplot2MASSRcppstats

LinkingTo (2)

Rcpp RcppEigen

Suggests (5)

knitr rmarkdown roxygen2 spelling testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Anran Liu

Author, Maintainer since 1.0.0 (2024)

Marianthi Markatou

Author

Raktim Mukhopadhyay

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.0Latest
record
2025-04-08 · current release · diff ↗
1.0.0
record
2024-10-04
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-10-04
Total releases: 2 / 2 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 39 KB / 5 files
Download size: 202 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MDDC")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 MDDC version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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