Estimation and Diagnostics for Many-Facet Measurement Models // Native R implementation of many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a bounded generalized partial-credit extension, and both marginal and joint maximum likelihood estimation. The package provides a fit / diagnose / report pipeline covering anchoring, linking, bias and differential-functioning screening, and publication-oriented reporting summaries, with reproducibility manifests for replay. See 'Andrich' (1978) doi:10.1007/BF02293814, 'Masters' (1982) doi:10.1007/BF02296272, and 'Muraki' (1992) doi:10.1177/014662169201600206 for the underlying ordered- response models.