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R-cran-lava
Jul 20, 2023
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 <doi10.1007/s00180-012-0344-y>. 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.
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