R: Enlarge number of imputations by combining 'mids' objects

ibind {mice} | R Documentation

## Enlarge number of imputations by combining `mids` objects

### Description

This function combines two `mids` objects `x` and `y` into a single `mids` object, with the objective of increasing the number of imputed data sets. If the number of imputations in `x` and `y` are `m(x)` and `m(y)`, then the combined object will have `m(x)+m(y)` imputations.

### Usage

    ibind(x, y)

### Arguments

`x` | A `mids` object.
`y` | A `mids` object.

### Details

The two `mids` objects are required to have the same underlying multiple imputation model and should be fitted on the same data.

### Value

An S3 object of class `mids`

### Author(s)

Karin Groothuis-Oudshoorn, Stef van Buuren

### See Also

`mids`, `rbind.mids`, `cbind.mids`

### Examples

    data(nhanes)
    imp1 <- mice(nhanes, m = 1, maxit = 2, print = FALSE)
    imp1$m

    imp2 <- mice(nhanes, m = 3, maxit = 3, print = FALSE)
    imp2$m

    imp12 <- ibind(imp1, imp2)
    imp12$m
    plot(imp12)

[Package mice version 3.12.0 Index]