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
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