
Extract the loading matrix from a fitted multivariate model
Source:R/output-methods.R
getLoadings.RdReturns the trait loading matrix from a fit returned by gllvmTMB(). This
is a small compatibility wrapper around extract_ordination() for readers
familiar with gllvm::getLoadings(). The canonical snake_case spelling in
this package is extract_loadings(), which forwards here.
Usage
getLoadings(fit, level = "unit", rotate = c("none", "varimax", "promax"))Arguments
- fit
A fitted multivariate model returned by
gllvmTMB(). Admittedengine = "julia"bridge fits expose raw unit-tier loadings and scores; rotated ordinations remain gated for Julia bridge fits.- level
"unit"(between-unit) or"unit_obs"(within-unit). Deprecated aliases"B"and"W"are still accepted with a warning.- rotate
Optional
"varimax"or"promax"rotation after fitting. Default"none"returns the engine's native lower-triangular Lambda. For Julia bridge fits only"none"is currently routed.
See also
extract_ordination() for the row-and-column interface that
returns scores and loadings together.