R: Class "multilevel_missing_data.frame"

multilevel_missing_data.frame {mi} | R Documentation

## Class "multilevel_missing_data.frame"

### Description

This class inherits from the `missing_data.frame-class` but is customized for the situation where the sample has a multilevel structure.

### Details

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 from the Class

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.

### Slots

The multilevel_missing_data.frame class inherits from the `missing_data.frame-class` and has two additional slots

groups

  Object of class `character` indicating which variables define the multilevel structure

mdf_list

  Object of class `mdf_list` whose elements contain a `missing_data.frame` for each group. This slot is filled automatically by the `initialize` method.

### Author(s)

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.

### See Also

`missing_data.frame`

### Examples

    ## Write example

[Package mi version 1.0 Index]