Class "multilevel_missing_data.frame"
This class inherits from the missing_data.frame-class
but is customized for the situation
where the sample has a multilevel structure.
The fit_model-methods
for the multilevel_missing_data.frame class will, by default, utilize
multilevel modeling techniques that shrink the estimated parameters for each group toward their global
means.
Objects can be created by calls of the form new("multilevel_missing_data.frame", ...)
.
However, its users almost always will pass a data.frame
to the
missing_data.frame
function and specify the subclass
and groups
arguments.
The multilevel_missing_data.frame class inherits from the missing_data.frame-class
and
has two additional slots
Object of class character
indicating which variables define the
multilevel structure
Object of class mdf_list
whose elements contain a missing_data.frame
for each group. This slot is filled automatically by the initialize
method.
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.
## Write example
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.