R Observatory: Metrics for MEDseq version 1.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MEDseq

1.4.2

Mixtures of Exponential-Distance Models with Covariates

0packages depend

3.1Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Keefe MurphyFirst published 2019-08-2413 releasesCRAN page ↗GitHub ↗

Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2021) doi:10.1111/rssa.12712. A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics and sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided.

Install

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

install.packages("MEDseq", 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("Keefe-Murphy/MEDseq")

Development version from Keefe-Murphy/MEDseq. 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-medseq

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-MEDseq

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-MEDseq

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

Health

CRAN checks

13OK

Slowest check: 3.6 min · r-release-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 343 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 89%
Documented parameters: 92%
Return-value docs: 93%
References docs: 84%

Downloads

3.1K

CRAN downloads in the past year

Rank #13,545 · ~9/day · ~259/mo

Releases R versions

Daily download trend is not available in this view yet.

21630 days

76890 days

3.1K1 year

Compare downloads with other packages →

Also on89 r2u27 autocran

Repository

GitHub ↗ keefe-murphy/medseq

5Stars

0Forks

0Open issues

0Open PRs

13Releases

69Commits

2Contributors

mixture-of-expertsmodel-based-clusteringsequence-analysisdistance-based-clustering

License GPL-3.0 · 69 commits · Last activity 2025-03-10

Stars over time

2023-02-13 · 42026-07-07 · 5

Repository practices

Upstream repositoryBeta

Checks run against github.com/keefe-murphy/medseq on 2026-08-23.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (7)

clustermatrixStatsnnetseriation stringdist TraMineR WeightedCluster

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown viridisLite

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Keefe Murphy

Author, Maintainer

Authors (1)

Keefe Murphy

Author, Maintainer

Contributors (3)

Isobel Claire Gormley

Contributor

Thomas Brendan Murphy

Contributor

Raffaella Piccarreta

Contributor

Package Timeline

13 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
1.4.2Latest
2025-03-10 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.4.1
2023-12-12 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.4.0
2022-12-20 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.3.3
2022-03-28 · diff ↗
1.3.2
2021-12-19 · diff ↗
1.3.1
2021-10-14 · diff ↗
1.3.0
2021-07-15 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.2.1
2021-01-06 · diff ↗
1.2.0
2020-11-21 · diff ↗
unarchivedReturned to CRAN
2020-11-21

Show 7 earlier events

archivedRemoved from CRAN
2020-11-18
check problems were not corrected in time donttest
1.1.1
2020-05-12 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.0
2020-03-31 · diff ↗
1.0.1
2019-12-10 · diff ↗
1.0.0
2019-08-24
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-08-24
Total releases: 13 / 7 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0.0
Bundled data: 42 KB / 2 files
Download size: 3.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MEDseq")

Format

Murphy, K., Gormley, I. C., Murphy, T. B., & Piccarreta, R. (2025). MEDseq: Mixtures of Exponential-Distance Models with Covariates (Version 1.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.MEDseq

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 MEDseq version 1.4.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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