kkholst/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 (2019) <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.

Getting started

Package details

AuthorKlaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
MaintainerKlaus K. Holst <[email protected]>
LicenseGPL-3
Version1.6.6
URL https://github.com/kkholst/lava
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kkholst/lava")
kkholst/lava documentation built on Aug. 1, 2019, 6:25 p.m.