Fit structural equation models (SEM) including factor analysis, multivariate regression models with latent variables and many other latent variable models while correcting estimates, standard errors, and chi-square-derived fit measures for a complex sampling design. Incorporate clustering, stratification, sampling weights, and finite population corrections into a SEM analysis. Wrapper around packages lavaan and survey.
|Date of publication||2016-12-22 23:43:24|
|Maintainer||Daniel Oberski <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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