Creates a visitSequence argument — make.visitSequence • mice

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.

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

Arguments

data

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.

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

Examples

make.visitSequence(nhanes)
#> [1] "age" "bmi" "hyp" "chl"

Creates a `visitSequence` argument

Arguments

Value

See also

Examples