The structure of the object returned by stats::model.matrix()
could slightly differ for certain types of models.
model_get_model_matrix() will always return an object
with the same structure as stats::model.matrix.default().
Usage
model_get_model_matrix(model, ...)
# Default S3 method
model_get_model_matrix(model, ...)
# S3 method for class 'multinom'
model_get_model_matrix(model, ...)
# S3 method for class 'clm'
model_get_model_matrix(model, ...)
# S3 method for class 'brmsfit'
model_get_model_matrix(model, ...)
# S3 method for class 'glmmTMB'
model_get_model_matrix(model, ...)
# S3 method for class 'plm'
model_get_model_matrix(model, ...)
# S3 method for class 'biglm'
model_get_model_matrix(model, ...)
# S3 method for class 'model_fit'
model_get_model_matrix(model, ...)
# S3 method for class 'LORgee'
model_get_model_matrix(model, ...)
# S3 method for class 'betareg'
model_get_model_matrix(model, ...)
# S3 method for class 'cch'
model_get_model_matrix(model, ...)
# S3 method for class 'vglm'
model_get_model_matrix(model, ...)
# S3 method for class 'vgam'
model_get_model_matrix(model, ...)
# S3 method for class 'svy_vglm'
model_get_model_matrix(model, ...)Arguments
- model
(a model object, e.g.
glm)
A model object.- ...
Additional arguments passed to
stats::model.matrix().
Details
For models fitted with glmmTMB::glmmTMB(), it will return a model matrix
taking into account all components ("cond", "zi" and "disp"). For a more
restricted model matrix, please refer to glmmTMB::model.matrix.glmmTMB().
For plm::plm() models, constant columns are not removed.
See also
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_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_identify_variables(),
model_list_contrasts(),
model_list_higher_order_variables(),
model_list_terms_levels(),
model_list_variables()