lava-package: Estimation and simulation of latent variable models

In kkholst/lava: Latent Variable Models

Estimation and simulation of latent variable models

Description

A general implementation of Structural Equation Models wth 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.

Author(s)

Klaus K. Holst Maintainer: <[e-mail]>

Examples

lava()

kkholst/lava documentation built on Feb. 22, 2024, 4:07 p.m.