mice (version 1.16)

lm.mids: 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.

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)