latents: Multilevel Latent Profile, Class and Transition Models

Fits single-level and multilevel latent profile and class models, latent transition models, and mixture regression and growth models for studying unobserved heterogeneity. Supported measurement models accommodate continuous, categorical, ordinal, count and mixed indicators. Provides model comparison, parameter inference, classification diagnostics and graphical summaries, with additional methods for membership covariates, staged estimation and analyses of external variables that account for classification error. Observed-data likelihood methods are available for incomplete indicators, and supported transition models can be represented as networks using the 'tna' package. The multilevel latent class formulation follows Vermunt (2003) <doi:10.1111/j.0081-1750.2003.t01-1-00131.x>.

Version: 1.1.9
Depends: R (≥ 4.1.0)
Imports: stats, grDevices, utils, parallel
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, tna, mclust, mice, ggplot2, MASS, withr, numDeriv
Published: 2026-11-01
DOI: 10.32614/CRAN.package.latents
Author: Mohammed Saqr ORCID iD [aut, cre, cph], Sonsoles López-Pernas ORCID iD [aut]
Maintainer: Mohammed Saqr <saqr at saqr.me>
BugReports: https://github.com/mohsaqr/latents/issues
License: GPL-3
URL: https://pak.dynasite.org/latents/, https://github.com/mohsaqr/latents
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: latents results

Documentation:

Reference manual: latents.html , latents.pdf
Vignettes: Two-level latent class analysis (source, R code)
Multilevel latent profile analysis (source, R code)

Downloads:

Package source: latents_1.1.9.tar.gz
Windows binaries: r-devel: latents_0.9.21.zip, r-release: latents_0.9.21.zip, r-oldrel: latents_0.9.21.zip
macOS binaries: r-release (arm64): latents_1.1.9.tgz, r-oldrel (arm64): latents_1.1.9.tgz, r-release (x86_64): latents_1.1.9.tgz, r-oldrel (x86_64): latents_1.1.9.tgz
Old sources: latents archive

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