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Item Response Theory Modeling and Scoring for Judgment Data

0packages depend
4.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Psychometric analysis and scoring of judgment data using polytomous Item-Response Theory (IRT) models, as described in Myszkowski and Storme (2019) doi:10.1037/aca0000225 and Myszkowski (2021) doi:10.1037/aca0000287. A function is used to automatically compare and select models, as well as to present a variety of model-based statistics. Plotting functions are used to present category curves, as well as information, reliability and standard error functions.

Changes in 1.2.0
  • New all.mirt.objects slot in jrt objects to store all mirt objects created during the automatic estimation process, to facilitate further analysis without needing to re-fit the models.
  • Argument to change the x and y axis titles in the info.plot() function.
  • Removed the irr dependency. additional.stats = TRUE now reports selected psych-based reliability indices and no longer reports Fleiss kappa or ICC values.
  • Updated line geoms to use linewidth, avoiding the ggplot2 3.4.0 deprecation warning for the size aesthetic.
  • Vignette and warning/note improvements, including clearer warning messages when judges have unobserved response categories.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.0
READMEYes · 147 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.2.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
43%
Vignettes (1)

Downloads

4.5K
CRAN downloads in the past year
Rank #8,112 · ~12/day · ~373/mo
Daily download trend is not available in this view yet.
50630 days
1.1K90 days
4.5K1 year
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Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing jrt adds 82 packages (40 with compiled code, 60 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)
R >= 3.5.0directlabels
Imports (9)
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 1.0.0 (2019)
Releases (7)

Pick two releases to compare their code metrics.

  • 1.2.0Latest
    record
    2026-06-10 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.3
    record
    2025-07-31 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.2
    record
    2023-04-13 · diff ↗
  • 1.1.1
    record
    2022-10-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.0
    record
    2021-12-10 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    record
    2019-05-06 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.0
    record
    2019-01-04
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-01-04
Total releases
7 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
4.7 KB / 2 files
Download size
1.3 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("jrt")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1037/aca0000287.

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 jrt version 1.2.0 [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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