Model-Based Detection of Disease Clusters
Overview
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
- 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
Documentation
- 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
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0-2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0-12020-02-25 · diff ↗
- 1.0-02019-08-21 · diff ↗
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2018-05-28
- archivedRemoved from CRAN2018-05-28check problems were not corrected despite reminders
- 0.2-12018-05-28 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.22018-02-20 · 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
- RR 3.4.0 released · 2017-04-21
- 0.12017-02-12
- RR 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
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.
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.