It will also identify interaction terms and intercept(s).
model_identify_variables(model)# S3 method for default
model_identify_variables(model)
# S3 method for lavaan
model_identify_variables(model)
# S3 method for aov
model_identify_variables(model)
# S3 method for clm
model_identify_variables(model)
# S3 method for clmm
model_identify_variables(model)
# S3 method for gam
model_identify_variables(model)
# S3 method for model_fit
model_identify_variables(model)
# S3 method for logitr
model_identify_variables(model)
A tibble with four columns:
term: coefficients of the model
variable: the corresponding variable
var_class: class of the variable (cf. stats::.MFclass())
var_type: "continuous", "dichotomous" (categorical variable with 2 levels),
"categorical" (categorical variable with 3 or more levels), "intercept"
or "interaction"
var_nlevels: number of original levels for categorical variables
(a model object, e.g. glm)
A model object.
tidy_identify_variables()
Other model_helpers:
model_compute_terms_contributions(),
model_get_assign(),
model_get_coefficients_type(),
model_get_contrasts(),
model_get_model(),
model_get_model_frame(),
model_get_model_matrix(),
model_get_n(),
model_get_nlevels(),
model_get_offset(),
model_get_pairwise_contrasts(),
model_get_response(),
model_get_response_variable(),
model_get_terms(),
model_get_weights(),
model_get_xlevels(),
model_list_contrasts(),
model_list_higher_order_variables(),
model_list_terms_levels(),
model_list_variables()