R Observatory: Metrics for MLCIRTwithin version 2.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MLCIRTwithin

2.1.2Package record

Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

0packages depend

3.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Francesco BartolucciCRAN page ↗

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("MLCIRTwithin", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlcirtwithin

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-MLCIRTwithin

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-MLCIRTwithin

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.1.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 25includes a package overview page
Examples that run: 38%3 run in a plain check · 5 never run
Exported functions with examples: 19%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 40%

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #11,009 · ~10/day · ~302/mo

Releases R versions

Daily download trend is not available in this view yet.

40030 days

95890 days

3.6K1 year

Compare downloads with other packages →

Also on95 r2u4 autocran128 c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing MLCIRTwithin adds 4 packages (4 with compiled code, 1.2 MB of source tarballs). Heaviest: limSolve 708 KB, lpSolve 457 KB, MultiLCIRT 39 KB.

Depends (4)

R >= 2.0.0MASSlimSolve MultiLCIRT

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Francesco Bartolucci

Author, Maintainer since 1.0 (2015)

Silvia Bacci

Author · added in 2.1.2

Listed in earlier versions (1)

Silvia Bacci - University of Perugia

no longer listed · 1.0 to 2.1.1

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2025-06-29
2.1.2Latest
record
2025-06-29 · 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
2.1.1
record
2019-09-30 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
2.1
record
2016-08-06 · diff ↗
2.0
record
2016-07-20 · diff ↗

Show 4 earlier eventsHide 4 earlier events

R
R 3.3.0 released · 2016-05-03
1.1
record
2016-02-03 · diff ↗
1.0
record
2015-06-03
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-06-03
Total releases: 6 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.0.0
Bundled data: 23 KB / 3 files
Download size: 59 KB

Appears in task views

Missing Data Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MLCIRTwithin")

Format

Bartolucci, F., & Bacci, S. (2025). MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality (Version 2.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.MLCIRTwithin

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MLCIRTwithin version 2.1.2 [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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