mice.impute.constant: Imputation Using a Fixed Vector

In alexanderrobitzsch/miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

Imputation Using a Fixed Vector

Description

Defines a fixed vector of values for imputation of a variable. The method is particularly useful for the generation of synthetic datasets, see syn_mice (Example 1).

Usage

mice.impute.constant(y, ry, x, fixed_values, ... )

Arguments

y	Incomplete data vector of length n
ry	Vector of missing data pattern (FALSE – missing, TRUE – observed)
x	Matrix (n x p) of complete covariates.
fixed_values	Vector containing fixed values
...	More arguments to be passed to imputation function

Value

Vector of imputed values

See Also

syn.constant

Examples

## Not run: 
#############################################################################
# EXAMPLE 1: Example with fixed imputed values
#############################################################################

data(nhanes, package="mice")
dat <- nhanes

#* define methods
method <- c(age="", bmi="constant", hyp="norm", chl="pmm")
fixed_values <- list( bmi=rep(27,9) )

#* impute
imp <- mice::mice(dat, method=method, m=1, maxit=3, fixed_values=fixed_values)
table(mice::complete(imp, action=1)$bmi)

## End(Not run)

alexanderrobitzsch/miceadds documentation built on Feb. 2, 2024, 10:21 a.m.