miceadds: mice.impute.hotDeck – R documentation

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mice.impute.hotDeck

Imputation of a Variable Using Probabilistic Hot Deck Imputation

Description

Imputes a variable under a random draw from a pool of donors defined by a distance function. Uncertainty with respect to the creation of donor pools is introduced by drawing a Bootstrap sample (approximate Bayesian Bootstrap, ABB) from observations with complete data (see Andridge & Little, 2010).

Usage

mice.impute.hotDeck(y, ry, x, donors=5, method="Mahalanobis", ...)

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.
`donors`	Number of donors used for random sampling of nearest neighbors in imputation
`method`	Method used for computation of weights in distance function. Options are the Mahalanobis metric (`method="Mahalanobis"`), weighted by correlations of covariates with the outcome (`method="cor"`) and weighting by linear regression coefficients (`method="lm"`).
`...`	Further arguments to be passed

Value

A vector of length nmis=sum(!ry) with imputed values.

References

Andridge, R. R., & and Little, R. J. A. (2010). A review of hot deck imputation for survey non-response. International Statistical Review, 78(1), 40-64. doi: 10.1111/j.1751-5823.2010.00103.x

Examples

## Not run: 
#############################################################################
# EXAMPLE 1: Hot deck imputation NHANES dataset
#############################################################################

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

#*** prepare imputation method
vars <- colnames(dat)
V <- length(vars)
impMethod <- rep("hotDeck", V)
method <- "cor"

#*** imputation in mice
imp <- mice::mice( data=as.matrix(dat), m=1, method=impMethod, method=method )
summary(imp)

## 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