Anova.mira {carEx} | R Documentation |
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
.
## S3 method for class 'mira' Anova(mod, type = c("II", "III", 2, 3), ...)
mod |
an object of class |
type |
type of test, see |
... |
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) }