This function is not intended to be called directly by users.
During the multiple imputation process, the mi
function estimates models and stores the estimated parameters in the
parameters
slot of an object that inherits from the
missing_variable-class
. The get_parameter
function simply extracts these parameters for storeage, which are
usually the estimated coefficients but may also include ancillary
parameters.
get_parameters(object, ...)
A numeric vector of estimated parameters
Usually an estimated model, such as that produced by glm
Additional arguments, currently not used
Ben Goodrich and Jonathan Kropko, for this version, based on earlier versions written by Yu-Sung Su, Masanao Yajima, Maria Grazia Pittau, Jennifer Hill, and Andrew Gelman.
There is method for the object produced by polr
, which
also returns the estimated cutpoints in a proportional odds model. However,
the default method simply calls coef
and returns the result.
If users implement their own models, it may be necessary to write a short
get_parameters
method.
fit_model