Imputation Using a Fixed Vector

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).

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

if (FALSE) {
#############################################################################
# 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)
}