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MultiLCIRT

2.12Package record

Multidimensional Latent Class Item Response Theory Models

2packages depend
6.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version (since 2.1).

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-devel-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 2.12
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
25includes a package overview page
Examples that run
70%7 run in a plain check · 3 never run
Exported functions with examples
32%
Documented parameters
99%
Return-value docs
73%
Help pages citing references
52%

Downloads

6.9K
CRAN downloads in the past year
Rank #5,188 · ~19/day · ~577/mo
Daily download trend is not available in this view yet.
64330 days
1.6K90 days
6.9K1 year
Compare downloads with other packages →
Also on387 r2u4 autocran140 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing MultiLCIRT adds 3 packages (3 with compiled code, 1.2 MB of source tarballs). Heaviest: limSolve 708 KB, lpSolve 457 KB, quadprog 35 KB.

Depends (3)
R >= 2.0.0MASSlimSolve
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Depends 1 · Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2012)
Author · added in 2.12
Listed in earlier versions (1)
Michela Gnaldi - University of Perugia
no longer listed · 1.0 to 2.11
Releases (13)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-06-28
  • 2.12Latest
    record
    2025-06-28 · current release · diff ↗
  • archivedRemoved from CRAN
    2025-06-02
    requires archived package 'limSolve'
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 2.11
    record
    2017-06-06 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 22 exports
    aggr_data, class_item, compare_models, est_multi_glob, est_multi_poly_clust, est_multi_poly, inv_glob, lk_obs_score_clust, lk_obs_score, matr_glob, print.class_item, print.est_multi_poly_clust, print.est_multi_poly, print.test_dim, prob_multi_glob, search.model, standard.matrix, summary.class_item, summary.est_multi_poly_clust, summary.est_multi_poly, summary.test_dim, test_dim
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 2.10
    record
    2016-04-13 · diff ↗
Show 14 earlier eventsHide 14 earlier events

Package metadata

First published
2012-06-25
Total releases
13 / 14 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.0.0
Bundled data
5.7 KB / 2 files
Download size
39 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiLCIRT")
Bartolucci, F., Bacci, S., & Gnaldi, M. (2025). MultiLCIRT: Multidimensional Latent Class Item Response Theory Models (Version 2.12) [Computer software]. https://doi.org/10.32614/CRAN.package.MultiLCIRT

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 MultiLCIRT version 2.12 [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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