latent: Latent Class and Factor Analysis Models

Fit measurement models with discrete or continuous latent variables.

Installation in Windows and Linux

devtools::install_github("marcosjnez/latent", force = TRUE)

Installation in macOS

Install the macrtools R package of James Balamuta:

# install.packages("remotes")
remotes::install_github("coatless-mac/macrtools")

Install Command Line Tools and the R Compilation Toolchain (this will take some minutes):

macrtools::macos_rtools_install()

Get OpenMP support:

macrtools::openmp_install()

If you have difficulties during the installation, check the following resources:

• https://mac.thecoatlessprofessor.com/macrtools/index.html
• https://mac.thecoatlessprofessor.com/macrtools/reference/openmp.html

Finally,

devtools::install_github("marcosjnez/latent", force = TRUE)

Funding

The package development is supported by two projects:

• The “DYNANSE: Righting the Wrongs. A Life Course Dynamics Approach for Non-Standard Employment” project, which has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 864471). September 2024 – February 2026

• NWO-Open Science NL, Open Science Infrastructure. Garnier-Villarreal, M.(PI) & Jiménez Henríquez, MJ (Grant Agreement No 500.040.2469). Fast estimation of classical and new latent variable models in R. March 2026 – February 2028. Budget: €249.873