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latents  

Multilevel Latent Profile, Class and Transition Models
View on CRAN: Click here


Download and install latents package within the R console
Install from CRAN:
install.packages("latents")

Install from Github:
library("remotes")
install_github("cran/latents")

Install by package version:
library("remotes")
install_version("latents", "0.9.21")



Attach the package and use:
library("latents")
Maintained by
Mohammed Saqr
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-10-16
Latest Update: 2026-10-16
Description:
Provides functions for fitting multilevel latent profile analysis, latent class, and latent transition models for continuous, categorical, and mixed-type variables. Models are estimated by expectation-maximization, handle missing data, and provide standard and robust standard errors. Model selection is supported by information criteria, entropy, classification diagnostics, and a parametric bootstrap likelihood ratio test. Covariates can be related to latent class membership using three-step methods with correction for classification error. Latent transition models estimate transitions between latent profiles across ordered occasions and are compatible with the 'tna' package for network and sequence analysis. The multilevel mixture formulation follows Vermunt (2003) <doi:10.1111/j.0081-1750.2003.t01-1-00131.x>.
How to cite:
Mohammed Saqr (2026). latents: Multilevel Latent Profile, Class and Transition Models. R package version 0.9.21, https://cran.r-project.org/web/packages/latents. Accessed 25 Oct. 2026.
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