Anova.mira: ANOVA for mira Objects
In carEx: Supplemental and Experimental Functions

Description Usage Arguments Details Author(s) References See Also Examples

This function provides a "mira" method for the Anova function in the car package. mira objects are produced by fitting statistical models to multiply imputed data sets using functions in the mice package: mice-package.

1 2	## S3 method for class 'mira' Anova(mod, type = c("II", "III", 2, 3), ...)

`mod`	an object of class `"mira"` produced by the mice package, `mice-package`.
`type`	type of test, see `Anova`.
`...`	not used.

The tests produced are Wald tests, using the total covariance matrix for the model coefficients (including components for within and between-imputations variation) to formulate the hypothesis matrices for type II tests.

John Fox jfox@mcmaster.ca

J. Fox, Applied Regression Analysis and Generalized Linear Models, 3rd ed., Sage, 2016.

S. van Buuren, Flexible Imputation of Missing Data, 2nd ed., Chapman and Hall, 2018.

Anova, linearHypothesis.mira, mira, mice-package.

if (require(mice)){
    nhanes2$age <- factor(nhanes2$age, 
        labels=c("age20.39", "40.59", "60.99"))
    imps <- mice(nhanes2, m=10, print=FALSE, seed=12345)
    models <- with(imps, lm(chl ~ age + bmi))
    Anova(models)
}