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DClusterm

1.0-2Package record

Model-Based Detection of Disease Clusters

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

Overview

About

Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models. These methods are described in 'V. Gómez-Rubio et al.' (2019) doi:10.18637/jss.v090.i14 and 'V. Gómez-Rubio et al.' (2018) doi:10.1007/978-3-030-01584-8_1.

Install

Health

CRAN checks
13OK
Slowest check: 5.8 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-23
  • ERROR12 OK, 1 ERROR2026-07-09
  • OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0-2
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
16
Examples that run
100%6 run in a plain check
Exported functions with examples
75%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
13%

Downloads

7.7K
CRAN downloads in the past year
Rank #5,710 · ~21/day · ~639/mo
Daily download trend is not available in this view yet.
58730 days
1.4K90 days
7.7K1 year
Compare downloads with other packages →
Also on179 r2u13 autocran118 c2d4u

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing DClusterm adds 25 packages (20 with compiled code, 43 MB of source tarballs). Heaviest: sf 9.3 MB, spdep 4.5 MB, sp 4.3 MB.

Depends (5)
R >= 3.5.0parallelspspacetimeDCluster
Imports (3)
methodsxtslme4
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1 (2017)
Listed in earlier versions (1)
Serrano
no longer listed · 1.0-2
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0-2Latest
    record
    2025-05-08 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0-1
    record
    2020-02-25 · diff ↗
  • 1.0-0
    record
    2019-08-21 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • unarchivedReturned to CRAN
    2018-05-28
  • archivedRemoved from CRAN
    2018-05-28
    check problems were not corrected despite reminders
  • 0.2-1
    record
    2018-05-28 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2
    record
    2018-02-20 · diff ↗ ·
    removed 1 export
    pattern:.
    added 8 exports
    DetectClustersModel, SelectStatsAllClustersNoOverlap, computeprob, get.allknclusters, get.stclusters, knbinary, mergeknclusters, slimknclusters
Show 3 earlier eventsHide 3 earlier events
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1
    record
    2017-02-12
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-02-12
Total releases
6 / 9 yrs
License
GPL-3 OSI
Additional repositories
inla.r-inla-download.org
Minimum R
≥ 3.5.0
Bundled data
857 KB / 5 files
Download size
3.1 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("DClusterm")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v090.i14, 10.1007/978-3-030-01584-8_1.

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 DClusterm version 1.0-2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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