R: Combine imputations fitted to the same data

ibind {mice}

R Documentation

Combine imputations fitted to the same data

Description

Combine imputations fitted to the same data

Usage

    ibind(x, y)

Arguments

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

Details

This function combines two mids objects x and y into a single mids object. The two mids objects should have the same underlying multiple imputation model and should be fitted on exactly the same dataset. If the number of imputations in x is m(x) and in y is m(y) then the combination of both objects contains m(x)+m(y) imputations.

Value

`call`	A vector, with first argument the `mice` statement that created `x` and second argument the call to `ibind()`.
`data`	The incomplete data in `x` and `y`.
`m`	Defined as `x$m`+`y$m`, the total number of imputations from `x` and `y`.
`nmis`	Defined as `x$nmis`, an array containing the number of missing observations per column of `x$data`.
`imp`	A combination of `x$imp` and `y$imp`.
`method`	Defined as `x$method`.
`predictorMatrix`	Defined as `x$predictorMatrix`.
`visitSequence`	`x$visitSequence`
`seed`	Defined as `x$seed`.
`iteration`	Last Gibbs sampling iteration number, `x$iteration`.
`lastSeedValue`	Defined as `x$lastSeedValue`.
`chainMean`	Combination of `x$chainMean` and `y$chainMean`.
`chainVar`	Combination of `x$chainVar` and `y$chainVar`.
`pad`	Defined as `x$pad` (which should equal `y$pad`).

Author(s)

Karin Groothuis-Oudshoorn, Stef van Buuren, 2009

Combine imputations fitted to the same data

Description

Usage

Arguments

Details

Value

Author(s)

See Also