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CompositeReliability

1.0.3Package record

Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets. This package provides an easy-to-use solution for calculating composite reliability for different assessment types. It allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations. Overall, our approach enhances the reliability of composite assessments, making it suitable for various education contexts.

Changes in 1.0.3
  • Included function computeMaxCompositeReliability to maximize the Composite Reliability Coefficient for a given set numbers of assessment types

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.3
READMEYes · 406 wordsVignettesNoNEWSYes · 100% structured · mentions 1.0.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
10 (1 internal)
Examples that run
86%6 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
78%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,184 · ~7/day · ~219/mo
Daily download trend is not available in this view yet.
26630 days
71790 days
2.6K1 year
Compare downloads with other packages →
Also on98 r2u2 autocran

Repository

Moved from jmoonen/compositereliability.

0Stars
0Forks
0Open issues
0Open PRs
5Releases
20Commits
1Commit identities
License file reads as GPL-3.0 · 20 commits · Last activity 2024-09-24
Responsiveness
not measured
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/jmoonen/compositereliability on 2026-10-21.

CRAN release process (1)
cran-comments.md
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 CompositeReliability adds 52 packages (29 with compiled code, 45 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, lme4 4.3 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.2 (2023)
Releases (2)

Pick two releases to compare their code metrics.

  • 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
  • 1.0.3Latest
    record
    2023-08-21 · current release · diff ↗ ·
    added 1 export
    computeMaxCompositeReliability
  • 1.0.2
    record
    2023-07-21
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-07-21
Total releases
2 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
0.3 KB / 1 file
Download size
8.7 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CompositeReliability")
Moonen - van Loon, J. (2023). CompositeReliability: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.CompositeReliability

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 CompositeReliability version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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