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.
| Reference manual: | gllvmTMB.html , gllvmTMB.pdf |
| Vignettes: |
Get started with gllvmTMB (source, R code) |
| Package source: | gllvmTMB_0.7.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): gllvmTMB_0.7.1.tgz, r-oldrel (arm64): gllvmTMB_0.7.1.tgz, r-release (x86_64): gllvmTMB_0.7.1.tgz, r-oldrel (x86_64): gllvmTMB_0.7.1.tgz |
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