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BoundIRT

0.8.0Package record

Fit Bounded Continuous Item Response Theory Models to Data

0packages depend
2.1Kdownloads / year
2.4%test coverage
13/13flavors OK

Overview

About

Bounded continuous data are encountered in many areas of test application. Examples include visual analogue scales used in the measurement of personality, mood, depression, and quality of life; item response times from tests with item deadlines; confidence ratings; and pain intensity ratings. Using this package, item response theory (IRT) models suitable for bounded continuous item scores can be fitted to data within a Bayesian framework. The package draws on posterior sampling facilities provided by R-package 'rstan' (Stan Development Team, 2025)https://mc-stan.org/. Available models include the Beta IRT model by Noel and Dauvier (2007)doi:10.1177/0146621605287691, the continuous response model by Samejima (1973)doi:10.1007/BF03372160, the unbounded normal model by Mellenbergh (1994)doi:10.1207/s15327906mbr2903_2, and the Simplex IRT model by Flores et al. (2020)doi:10.1007/978-3-030-43469-4_8. All models can be fitted with or without zero-one inflation (Molenaar et al., 2022)doi:10.3102/10769986221108455. Model fit comparisons can be conducted using the Watanabe-Akaike information criterion (WAIC), leave-one-out cross-validation information criterion (LOOIC), and the fully marginalized likelihood (i.e., Bayes factors).

Install

Health

CRAN checks
13OK
Slowest check: 23.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-09
Show 3 earlier changesHide 3 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK11 OK2026-04-25
  • ERROR5 OK, 1 NOTE, 1 ERROR2026-04-21
Advisories

none known

Documentation

In release 0.8.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15includes a package overview page
Examples that run
86%12 run in a plain check · 2 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
60%

Downloads

2.1K
CRAN downloads in the past year
Rank #8,537 · ~6/day · ~177/mo
Daily download trend is not available in this view yet.
45530 days
1.1K90 days
2.1K1 year
Compare downloads with other packages →
Also on262 r2u41 autocran

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing BoundIRT adds 62 packages (33 with compiled code, 67 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.5
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.0.1 (2026)
Releases (4)

Pick two releases to compare their code metrics.

  • 0.8.0Latest
    record
    2026-09-16 · current release · diff ↗ ·
    added 3 exports
    loo, mcmc, waic
  • 0.6.0
    record
    2026-05-05 · diff ↗
  • 0.5.0
    record
    2026-05-05 · diff ↗ ·
    added 2 exports
    loglikBIRT, repBIRT
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.1
    record
    2026-04-20
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-20
Total releases
4 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
4.0 MB / 3 files
Download size
4.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BoundIRT")
Molenaar, D. (2026). BoundIRT: Fit Bounded Continuous Item Response Theory Models to Data (Version 0.8.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BoundIRT

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 BoundIRT version 0.8.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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