getfit

An object of class <code>mira</code>, typically produced by a call to 
     <code>with()</code>.

An integer between 1 and <code>x$m</code> signalling the number of the repeated analysis. 
The default <code>i= -1</code> return a list with all analyses.

simplify

<code>getfit</code> returns the list of objects containing the repeated analysis results,
or optionally, one of these fit objects.

manip

Multiple imputation using Fully Conditional Specification
        (FCS) implemented by the MICE algorithm. Each variable has its
        own imputation model. Built-in imputation models are provided
        for continuous data (predictive mean matching, normal), binary
        data (logistic regression), unordered categorical data
        (polytomous logistic regression) and ordered categorical data
        (proportional odds). MICE can also impute continuous two-level
        data (normal model, pan, second-level variables). Passive
        imputation can be used to maintain consistency between
        variables. Various diagnostic plots are available to inspect
        the quality of the imputations.

getfit: Extracts fit objects from mira object

Description

Usage

Arguments

Value

Details

See Also

Examples