Count Longitudinal Data
Overview
Performs regression analysis for longitudinal count data, allowing for serial dependence among observations from a given individual and two dimensional random effects on the linear predictor. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed. Details can be found in the accompanying scientific papers: Goncalves & Cabral (2021, Journal of Statistical Software, doi:10.18637/jss.v099.i03) and Goncalves et al. (2007, Computational Statistics & Data Analysis, doi:10.1016/j.csda.2007.03.002).
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘M. Helena Goncalves <mhgoncal@ualg.pt>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("M.", "Helena"),
family = "Goncalves",
role = c("aut", "cre"),
email = "mhgoncal@ualg.pt"),
person(given = c("M.", "Salome"),
family = "Cabral",
role = "aut"),
person(given = c("apart", "from", "a", "set", "of", "Fortran-77", "subroutines", "written", "by", "R."),
family = "Piessens",
role = "aut"),
person(given = "E.",
family = "de Doncker",
role = "aut"),
person(given = c("belonging", "to", "the", "suite"),
family = "\"Quadpack\".",
role = "aut"))
as necessary.
Package CITATION file contains call(s) to old-style personList() or
as.personList(). Please use c() on person objects instead.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 36includes a package overview page
- Examples that run
- 100%19 run in a plain check
- Exported functions with examples
- 14%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 14%
Downloads
Dependencies
Installing cold adds 2 packages (2 with compiled code, 5.0 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Maintainer since at least 2.0-0 (2019)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 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
- 2.0-3Latest
- 2.0-22021-08-18 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.0-12020-03-25 · diff ↗
- unarchivedReturned to CRAN2019-07-22
- 2.0-0
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- archivedRemoved from CRAN2017-04-24check errors were not corrected despite reminders
- RR 3.4.0 released · 2017-04-21
Show 13 earlier eventsHide 13 earlier events
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.0-42015-04-15 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 1.0-32013-10-05 · diff ↗
- 1.0-3-dup2013-10-05 · diff ↗
- 1.0-22013-07-30 · diff ↗
- 1.0-2-dup2013-07-30 · diff ↗
- 1.0-12013-06-27 · diff ↗
- 1.0-1-dup2013-06-27 · diff ↗
- 1.0
- 1.0-dup2013-06-20
- RR 3.0.0 released · 2013-04-03
Package metadata
- First published
- 2013-06-20
- Total releases
- 13 / 13 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.3
- Bundled data
- 5.6 KB / 4 files
- Download size
- 82 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("cold")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v099.i03.
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.