lm.mids {mice}R Documentation

Linear Regression on Multiply Imputed Data

Description

Performs repeated linear regression on multiply imputed data set

Usage

lm.mids(formula, data, ...)

Arguments

formula a formula object, with the response on the left of a ~ operator, and the terms, separated by + operators, on the right.
data An object of type 'mids', which stands for 'multiply imputed data set', typically created by function mice().
... Additional parameters passed to lm

Value

An objects of class 'mira', which stands for 'multiply imputed repeated analysis'. This object contains m lm.objects, plus some descriptive information.

Author(s)

Stef van Buuren, Karin Oudshoorn, 2000

References

Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.

See Also

lm, mids, mira

Examples

data(nhanes)
imp <- mice(nhanes)     # do default multiple imputation on a numeric matrix
fit <- lm.mids(bmi~hyp+chl,data=imp)

[Package mice version 1.15 Index]