Decomposes the marginal trait variance into contributions from each
active component of the model: between-unit shared (latent_B),
between-unit unique (unique_B), within-unit shared (latent_W),
within-unit unique (unique_W), phylogenetic (phylo_scalar /
phylo_latent), non-phylogenetic species, spatial (spatial), and
Gaussian/lognormal observation residual where present. Non-Gaussian
link-implicit residual shares are handled by extract_proportions().
Arguments
- fit
A fitted multivariate model returned by
gllvmTMB().
Value
An n_traits × n_components matrix of variance shares (rows
sum to 1). Columns are only those active in fit$use.
Details
Mirrors gllvm::VP() / gllvm::plotVP().
See also
extract_proportions() for the canonical per-trait
variance-share decomposition with explicit B / W / phy / link-residual
columns.