r-cran-lava - 1.7.3+dfsg-1 main

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)
). 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.