mice.impute.sample: Imputation by simple random sampling

In stefvanbuuren/mice: Multivariate Imputation by Chained Equations

Imputation by simple random sampling

Description

Imputes a random sample from the observed y data

Usage

mice.impute.sample(y, ry, x = NULL, wy = NULL, ...)

Arguments

y	Vector to be imputed
ry	Logical vector of length length(y) indicating the the subset y[ry] of elements in y to which the imputation model is fitted. The ry generally distinguishes the observed (TRUE) and missing values (FALSE) in y.
x	Numeric design matrix with length(y) rows with predictors for y. Matrix x may have no missing values.
wy	Logical vector of length length(y). A TRUE value indicates locations in y for which imputations are created.
...	Other named arguments.

Details

This function takes a simple random sample from the observed values in y, and returns these as imputations.

Value

Vector with imputed data, same type as y, and of length sum(wy)

Author(s)

Stef van Buuren, Karin Groothuis-Oudshoorn, 2000, 2017

References

van Buuren S and Groothuis-Oudshoorn K (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1-67. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v045.i03")}

stefvanbuuren/mice documentation built on May 6, 2024, 12:17 p.m.