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Extensible Markov Model for Modelling Temporal Relationships Between Clusters

0packages depend
7.7Kdownloads / year
55.5%test coverage
13/13flavors OK

Overview

About

Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of the Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. It also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) doi:10.18637/jss.v035.i05.

Changes in 1.2.3
  • Added a getting started vignette.
  • Added a vignette on modeling temporal structure with stream clusterers and TRACDS.

Updates

  • Updated and added tests.
  • Switch to roxygen documentation.
  • Updated plotting and graph conversion to use current igraph function names.

Bugfixes

  • Fixed multi-step prediction, default fading, copied temporal model fading, and state bookkeeping when merging, removing, or updating states. TRAC now preserves cluster labels in its centers and temporal model.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.3
READMEYes · 409 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.2.3Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JSS article
Help pages
27 (1 internal)includes a package overview page
Examples that run
100%24 run in a plain check
Exported functions with examples
90%
Documented parameters
92%
Return-value docs
95%
Help pages citing references
19%

Downloads

7.7K
CRAN downloads in the past year
Rank #5,789 · ~21/day · ~639/mo
Daily download trend is not available in this view yet.
52630 days
1.5K90 days
7.7K1 year
Compare downloads with other packages →
Also on73 r2u7 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
3Releases
32Commits
1Commit identities
clusteringdata-streamsequence-analysis
32 commits · Last activity 2026-10-17
Responsiveness
not measured

Stars over time

2025-02-04 · 22026-07-07 · 2
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mhahsler/remm on 2026-10-25.

Continuous integration (1)
GitHub Actions
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-17 · The repository has a site deploy workflow

pkgdown site last built 2026-10-17

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing rEMM adds 27 packages (16 with compiled code, 39 MB of source tarballs). Heaviest: BH 14 MB, igraph 4.8 MB, dbscan 3.8 MB.

Depends (1)
R >= 2.10.0
Imports (9)
methodsstatsstreamclusterclusterGenerationMASSutilsproxyigraph
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1-2 (2010), Copyright holder
Releases (17)

Pick two releases to compare their code metrics.

  • 1.2.3Latest
    record
    2026-10-13 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1
    record
    2024-04-22 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.0
    record
    2022-06-25 · diff ↗ ·
    added 4 exports
    DSC_tNN, DSC_EMM, get_EMM, set_EMM
  • 1.1.1
    record
    2022-05-31 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.0
    record
    2021-10-30 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
Show 21 earlier eventsHide 21 earlier events
  • 1.0-11
    record
    2015-07-24 · diff ↗
  • 1.0-10
    record
    2015-07-02 · diff ↗
  • 1.0-9
    record
    2015-05-15 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0-8
    record
    2014-01-14 · diff ↗ ·
    added 1 export
    smooth_transitions
  • 1.0-7
    record
    2013-08-11 · diff ↗ ·
    added 2 exports
    ntransitions, recluster_transitions
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0-6
    record
    2012-05-30 · diff ↗ ·
    added 2 exports
    compact, object.size
  • 1.0-5
    record
    2012-04-09 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 1.0-4
    record
    2012-03-16 · diff ↗
  • 1.0-3
    record
    2012-02-08 · diff ↗ ·
    added 6 exports
    as.igraph, as.graph, as.igraph.TRACDS, as.graph.TRACDS, last_clustering, recluster_tNN
  • R
    R 2.14.0 released · 2011-10-31
  • 1.0-2
    record
    2011-07-26 · diff ↗ ·
    added 7 exports
    TRAC, copy, clusters, nclusters, update, TRACDS, nstates
  • R
    R 2.13.0 released · 2011-04-13
  • R
    R 2.12.0 released · 2010-10-15
  • 1.0-0
    record
    2010-07-13 · diff ↗ ·
    removed 6 exports
    state_counts, state_centers, merge_states, remove_states, find_states, rare_states
    added 9 exports
    merge_clusters, remove_clusters, tNN, cluster, cluster_counts, cluster_centers, find_clusters, rare_clusters, recluster_reachability
  • R
    R 2.11.0 released · 2010-04-22
  • 0.1-2
    record
    2010-01-26
  • R
    R 2.10.0 released · 2009-10-26

Package metadata

First published
2010-01-26
Total releases
17 / 16 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10.0
Bundled data
26 KB / 4 files
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rEMM")

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rEMM version 1.2.3 [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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