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Formats the components collected by umg_identify() into a compact report: latent scaling status, the counting-rule degrees of freedom, any label-switching indeterminacy, and the number of implied conditional independencies.

Usage

# S3 method for class 'umg_identification'
print(x, ...)

Arguments

x

An object of class umg_identification.

...

Further arguments passed to or from other methods (currently unused).

Value

The object x, invisibly.

Examples

print(umg_identify(umg_factor("F", paste0("y", 1:6))))
#> UMG identification summary
#> --------------------------
#> Latent scaling: 1 latent continuous vertex(es); all scaled
#> Counting rule: 21 data moments, 12 free parameters, df = 9
#> Implied conditional independencies (observed): 0
#> Note: necessary conditions only; not a formal identification proof.