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.

Latent Variable Models

package-ubuntu-20.04-r-4.0.5#cran#lava-1.6.10

<p>Framwork for estimating parameters and simulate data from Latent Variable
Models.
</p>

<p>Klaus K. Holst Maintainer: &lt;klaus@holst.it&gt;
</p>

package-ubuntu-20.04-r-4.0.5#cran#lava-1.6.10#docs#lava-package

lava-package

Description

Author(s)

Examples

lava

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