lava: Latent Variable Models

A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.

Package details

AuthorKlaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
MaintainerKlaus K. Holst <klaus@holst.it>
LicenseGPL-3
Version1.8.0
URL https://kkholst.github.io/lava/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lava")

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lava documentation built on May 29, 2024, 3:10 a.m.