mice (version 1.14)

lm.mids: Linear Regression on Multiply Imputed Data

Description

Performs repeated linear regression on multiply imputed data set

Usage

lm.mids(formula, data, weights, subset, na.action, method="qr", model=FALSE, 
        x=FALSE, y=FALSE, contrasts=NULL, ...)

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().

weights

see lm

subset

see lm

na.action

see lm

method

see lm

model

see lm

x

see lm

y

see lm

contrasts

see lm

...

not used

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)