Get a named variance-covariance matrix from a model object (internal function)
get_vcov(model, ...)# S3 method for default
get_vcov(model, ...)
# S3 method for polr
get_vcov(model, ...)
# S3 method for glimML
get_vcov(model, ...)
# S3 method for multinom
get_vcov(model, ...)
# S3 method for crch
get_vcov(model, ...)
# S3 method for selection
get_vcov(model, ...)
# S3 method for scam
get_vcov(model, ...)
Model object
Additional arguments are passed to the predict() method used to
compute adjusted predictions. These arguments are particularly useful for
mixed-effects or bayesian models (see the online vignettes on the
marginaleffects website). Available arguments can vary from model to
model, depending on the range of supported arguments by each modeling
package. See the "Model-Specific Arguments" section of the
?marginaleffects document for a non-exhaustive list of available
arguments.
A named square matrix of variance and covariances. The names must match the coefficient names.