Get levels of the outcome variable in grouped or multivariate models
get_group_names(model, ...)# S3 method for default
get_group_names(model, ...)
# S3 method for polr
get_group_names(model, ...)
# S3 method for multinom
get_group_names(model, ...)
# S3 method for bracl
get_group_names(model, ...)
# S3 method for brmsfit
get_group_names(model, ...)
# S3 method for mblogit
get_group_names(model, type, ...)
# S3 method for clm
get_group_names(model, ...)
# S3 method for hurdle
get_group_names(model, type = "count", ...)
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.
Type(s) of prediction as string or character vector. This can differ based on the model type, but will typically be a string such as: "response", "link", "probs", or "zero".
A character vector