miceadds: mice.impute.constant – R documentation

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mice.impute.constant

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

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)

miceadds

Some Additional Multiple Imputation Functions, Especially for 'mice'

v3.11-6

GPL (>= 2)

Authors

Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>), Simon Grund [aut] (<https://orcid.org/0000-0002-1290-8986>), Thorsten Henke [ctb]

Initial release

2021-01-21 11:48:47