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.

Analysis of multivariate functional spatial data, 
             including spectral multivariate functional principal 
             component analysis and related statistical procedures 
             (Si-Ahmed, Idris, et al. "Principal component analysis of multivariate spatial functional data." Big Data Research 39 (2025) 100504).
             (Kuenzer, T., Hörmann, S., & Kokoszka, P. (2021). "Principal component analysis of spatially indexed functions." Journal of the American Statistical Association, 116(535), 1444-1456.)
             (Happ, C., & Greven, S. (2018). "Multivariate functional principal component analysis for data observed on different (dimensional) domains." Journal of the American Statistical Association, 113(522), 649-659.)

Convenience functions for multivariate MCMC using univariate samplers including:
  slice sampler with stepout and shrinkage (Neal (2003) <DOI:10.1214/aos/1056562461>),
  adaptive rejection sampler (Gilks and Wild (1992) <DOI:10.2307/2347565>),
  adaptive rejection Metropolis (Gilks et al (1995) <DOI:10.2307/2986138>), and
  univariate Metropolis with Gaussian proposal.

Estimates probit, logit, Poisson, negative binomial, 
  and beta regression models, returning their marginal effects, odds ratios, 
  or incidence rate ratios as an output.
  Greene (2008, pp. 780-7) provides a textbook introduction to this topic.