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
The "Model-Specific Arguments" section below gives a list of arguments which can modify the behavior of this function for certain models (e.g., mixed-effects or bayesian).
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