R: Creates a 'visitSequence' argument

make.visitSequence {mice} | R Documentation

## Creates a `visitSequence` argument

### Description

This helper function creates a valid `visitSequence`. The `visitSequence` is an argument to the `mice` function that specifies the sequence in which blocks are imputed.

### Usage

    make.visitSequence(data = NULL, blocks = NULL)

### Arguments

`data` | A data frame or a matrix containing the incomplete data. Missing values are coded as `NA`.
`blocks` | List of vectors with variable names per block. List elements may be named to identify blocks. Variables within a block are imputed by a multivariate imputation method (see `method` argument). By default each variable is placed into its own block, which is effectively fully conditional specification (FCS) by univariate models (variable-by-variable imputation). Only variables whose names appear in `blocks` are imputed. The relevant columns in the `where` matrix are set to `FALSE` of variables that are not block members. A variable may appear in multiple blocks. In that case, it is effectively re-imputed each time that it is visited.

### Value

Vector containing block names

### See Also

`mice`

### Examples

    make.visitSequence(nhanes)

[Package mice version 3.8.0 Index]