R Observatory: Metrics for randomLCA version 1.1-5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

randomLCA

1.1-5Package record

Random Effects Latent Class Analysis

0packages depend

6.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ken BeathCRAN page ↗

Fits standard and random effects latent class models. The single level random effects model is described in Qu et al doi:10.2307/2533043 and the two level random effects model in Beath and Heller doi:10.1177/1471082X0800900302. Examples are given for their use in diagnostic testing.

Install

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

install.packages("randomLCA", 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-randomlca

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-randomLCA

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-randomLCA

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: 3.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-08
ERROR12 OK, 1 ERROR2026-06-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1-5

READMENoVignettesYes · 2 · dynamicNEWSYes · 0% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 26
Examples that run: 4%1 run in a plain check · 25 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 81%
Return-value docs: 93%
Help pages citing references: 31%

Vignettes (2)

How these are measured

Downloads

6.6K

CRAN downloads in the past year

Rank #4,601 · ~18/day · ~552/mo

Releases R versions

Daily download trend is not available in this view yet.

93930 days

1.8K90 days

6.6K1 year

Compare downloads with other packages →

Also on363 r2u4 autocran165 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing randomLCA adds 6 packages (6 with compiled code, 3.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, RcppParallel 744 KB.

Depends (2)

R >= 3.2.0lattice

Imports (5)

bootfastGHQuadMatrixRfastparallel

LinkingTo (0)

none

Suggests (3)

R.rsp tidyverse kableExtra

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 (1)

Ken Beath

Author, Maintainer since 0.1-1 (2008)

Releases (41)

Pick two releases to compare their code metrics.

1.1-5Latest
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2026-10-08 · current release · diff ↗
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R 4.6.0 released · 2026-04-24
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R 4.5.0 released · 2025-04-11
1.1-4
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2024-09-24 · diff ↗
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R 4.4.0 released · 2024-04-24
1.1-3
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2023-06-22 · diff ↗
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R 4.3.0 released · 2023-04-21
1.1-2
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2022-05-09 · diff ↗
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R 4.2.0 released · 2022-04-22
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R 4.1.0 released · 2021-05-18
1.1-1
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2021-02-15 · diff ↗
1.1-0
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2021-01-07 · diff ↗
1.0-16
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2020-06-16 · diff ↗
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R 4.0.0 released · 2020-04-24
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R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23

Show 49 earlier eventsHide 49 earlier events

1.0-15
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2018-01-16 · diff ↗ ·
added 2 exports
refit.randomLCA, simulate.randomLCA
1.0-14
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2018-01-08 · diff ↗ ·
added 1 export
maxPostClass
1.0-13
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2017-11-06 · diff ↗ ·
added 2 exports
calcCond2Prob, ranef
1.0-12
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2017-07-23 · diff ↗
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R 3.4.0 released · 2017-04-21
1.0-11
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R 3.3.0 released · 2016-05-03
1.0-6
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1.0-5
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2015-11-12 · diff ↗
1.0-3
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2015-09-30 · diff ↗ ·
removed 5 exports
calc.cond.prob, calc.marg.prob, outcome.probs, class.probs, post.class.probs

added 7 exports
calcCondProb, calcMargProb, outcomeProbs, classProbs, postClassProbs, AIC3, print.randomLCA
R
R 3.2.0 released · 2015-04-16
1.0-2
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1.0-0
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2014-10-14 · diff ↗
0.9-0
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2014-09-07 · diff ↗ ·
added 5 exports
.onAttach, refit, summary.randomLCA, class.probs, post.class.probs
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R 3.1.0 released · 2014-04-10
0.8-7
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R 3.0.0 released · 2013-04-03
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R 2.15.0 released · 2012-03-30
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R 2.14.0 released · 2011-10-31
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R 2.13.0 released · 2011-04-13
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R 2.12.0 released · 2010-10-15
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2010-05-22 · diff ↗
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R 2.11.0 released · 2010-04-22
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R 2.10.0 released · 2009-10-26
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R 2.9.0 released · 2009-04-17
0.7-1
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0.6-2
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2009-03-08 · diff ↗
0.6-1
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2008-11-09 · diff ↗ ·
added 1 export
outcome.probs
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R 2.8.0 released · 2008-10-20
0.5-3
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2008-07-28 · diff ↗
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2008-07-15 · diff ↗
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2008-05-30 · diff ↗
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R 2.7.0 released · 2008-04-22
0.1-3
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2008-04-04 · diff ↗
0.1-1
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2008-03-21
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R 2.6.0 released · 2007-10-03

Package metadata

First published: 2008-03-21
Total releases: 41 / 18 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.2.0
Bundled data: 5.1 KB / 7 files
Download size: 274 KB

Appears in task views

Cluster Analysis & Finite Mixture Models Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' entry:

citation("randomLCA")

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

It points to 10.18637/jss.v081.i13.

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 randomLCA version 1.1-5 [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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