polychor

<p>Estimate the polychoric correlation between two ordinal (categorical)
variables <code>x</code> and <code>y</code>, i.e., the correlation between the two continuous,
bivariate normal latent variables assumed to underlie <code>x</code> and <code>y</code>
Drasgow1988cSEM. Implemented by Kjell S. Slupphaug.</p>

internal

Estimate, assess, test, and study linear, nonlinear, hierarchical
and multigroup structural equation models using composite-based approaches
and procedures, including estimation techniques such as partial least squares
path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc),
generalized structured component analysis (GSCA), generalized structured
component analysis with uniqueness terms (GSCAm), generalized canonical
correlation analysis (GCCA), principal component analysis (PCA),
factor score regression (FSR) using sum score, regression or
Bartlett scores (including bias correction using Croon’s approach),
as well as several tests and typical postestimation procedures
(e.g., verify admissibility of the estimates, assess the model fit,
test the model fit etc.).

polychor: Internal: Fast polychoric correlation

Description

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References