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iccCounts

1.1.4Package record

Intraclass Correlation Coefficient for Count Data

0packages depend
3.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Estimates the intraclass correlation coefficient (ICC) for count data to assess repeatability (intra-methods concordance) and concordance (between-method concordance). In the concordance setting, the ICC is equivalent to the concordance correlation coefficient estimated by variance components. The ICC is estimated using the estimates from generalized linear mixed models. The within-subjects distributions considered are: Poisson; Negative Binomial with additive and proportional extradispersion; Zero-Inflated Poisson; and Zero-Inflated Negative Binomial with additive and proportional extradispersion. The statistical methodology used to estimate the ICC with count data can be found in Carrasco (2010) doi:10.1111/j.1541-0420.2009.01335.x.

Install

Health

CRAN checks
13OK
Slowest check: 11.9 min · r-oldrel-windows-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 1.1.4
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
48 (37 internal)
Examples that run
50%4 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
10%

Downloads

3.6K
CRAN downloads in the past year
Rank #12,212 · ~10/day · ~304/mo
Daily download trend is not available in this view yet.
36730 days
90690 days
3.6K1 year
Compare downloads with other packages →
Also on84 r2u4 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing iccCounts adds 59 packages (34 with compiled code, 62 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, glmmTMB 5.2 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.1 (2021)
Listed in earlier versions (1)
Carrasco
no longer listed · 1.1.4
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4Latest
    record
    2026-01-30 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.2
    record
    2024-02-28 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.1
    record
    2022-06-09 · diff ↗
  • 1.1.0
    record
    2022-06-03 · diff ↗ ·
    added 1 export
    plot_BA
  • R
    R 4.2.0 released · 2022-04-22
  • unarchivedReturned to CRAN
    2021-07-30
  • 1.0.3
    record
    2021-07-30 · diff ↗
  • archivedRemoved from CRAN
    2021-07-10
    requires archived package 'glmmTMB'
  • 1.0.2
    record
    2021-06-30 · diff ↗
  • 1.0.1
    record
    2021-06-01
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-06-01
Total releases
7 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Bundled data
1.5 KB / 1 file
Download size
153 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iccCounts")
Carrasco, J. L. (2026). iccCounts: Intraclass Correlation Coefficient for Count Data (Version 1.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.iccCounts

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 iccCounts version 1.1.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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