# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "gllvmTMB" in publications use:' type: software license: GPL-3.0-only title: 'gllvmTMB: Generalised Linear Latent Variable Models' version: 0.7.1 abstract: 'Fits multivariate generalised linear latent variable models using either long-format data or a wide data frame. Models support several response distributions and trait covariance structures, and can estimate correlations, shared latent axes, and trait-specific variances. Binary presence-absence data can be used for joint species distribution analyses. Optional animal, phylogenetic, spatial, and kernel covariance components are available. Estimation uses ''Template Model Builder''. Spatial effects can use sparse Gaussian Markov random field constructions. This 0.7.1 release remains experimental: evidence for estimates is model- and regime-specific. Broad interval coverage is not certified; a 0.94 coverage floor is documented only for one two-sided Gaussian total-variance profile setting.' authors: - family-names: Nakagawa given-names: Shinichi email: itchyshin@gmail.com orcid: https://orcid.org/0000-0002-7765-5182 preferred-citation: type: manual title: 'gllvmTMB: Generalised Linear Latent Variable Models with TMB' authors: - family-names: Nakagawa given-names: Shinichi email: itchyshin@gmail.com orcid: https://orcid.org/0000-0002-7765-5182 year: '2026' notes: R package version 0.7.1 url: https://itchyshin.github.io/gllvmTMB/ repository: https://cran.r-universe.dev repository-code: https://github.com/itchyshin/gllvmTMB commit: ca1db6d43584ae5bd7c51096aa21793b363c37f4 url: https://itchyshin.github.io/gllvmTMB/ date-released: '2026-10-28' contact: - family-names: Nakagawa given-names: Shinichi email: itchyshin@gmail.com orcid: https://orcid.org/0000-0002-7765-5182 references: - type: article title: Maximum Softly-Penalized Likelihood for Mixed Effects Logistic Regression authors: - family-names: Sterzinger given-names: Philipp - family-names: Kosmidis given-names: Ioannis journal: Statistics and Computing year: '2023' volume: '33' doi: 10.1007/s11222-023-10217-3 start: '53' - type: article title: 'TMB: Automatic Differentiation and Laplace Approximation' authors: - family-names: Kristensen given-names: Kasper - family-names: Nielsen given-names: Anders - family-names: Berg given-names: Casper W. - family-names: Skaug given-names: Hans - family-names: Bell given-names: Bradley M. journal: Journal of Statistical Software year: '2016' volume: '70' issue: '5' doi: 10.18637/jss.v070.i05 start: '1' end: '21'