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, ...)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.