lava: Latent Variable Models
Version 1.6.1

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) ). Mixture latent variable models and non-linear latent variable models (two-stage)... 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]
Date of publication2018-03-28 14:53:25 UTC
MaintainerKlaus K. Holst <[email protected]>
LicenseGPL-3
Version1.6.1
URL https://github.com/kkholst/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 April 1, 2018, 12:17 p.m.