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().
model_get_model_matrix(model, ...)# S3 method for default
model_get_model_matrix(model, ...)
# S3 method for multinom
model_get_model_matrix(model, ...)
# S3 method for clm
model_get_model_matrix(model, ...)
# S3 method for brmsfit
model_get_model_matrix(model, ...)
# S3 method for glmmTMB
model_get_model_matrix(model, ...)
# S3 method for plm
model_get_model_matrix(model, ...)
# S3 method for biglm
model_get_model_matrix(model, ...)
# S3 method for model_fit
model_get_model_matrix(model, ...)
# S3 method for fixest
model_get_model_matrix(model, ...)
# S3 method for LORgee
model_get_model_matrix(model, ...)
# S3 method for betareg
model_get_model_matrix(model, ...)
# S3 method for cch
model_get_model_matrix(model, ...)
(a model object, e.g. glm)
A model object.
Additional arguments passed to stats::model.matrix().
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.
For fixest models, will recreate a model matrix with both main variables
and instrumental variables. For more options, see
fixest::model.matrix.fixest.
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()
lm(hp ~ mpg + factor(cyl), mtcars) |>
model_get_model_matrix() |>
head()
Run the code above in your browser using DataLab