GetVariableImpacts: Variable Impact Analysis after Cross Validation

In google/glmmplus: Multiple Imputation and Model Selection

Description

Currently works with only a mids data object and family = binomial!

Usage

GetVariableImpacts(cv)

Arguments

cv	A "gfo.cxv" object created from CrossValidate().

Details

The procedure works like this...

References

Stef van Buuren, Karin Groothuis-Oudshoorn (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1-67. URL http://www.jstatsoft.org/v45/i03/.

Examples

data(testdata)
    
# creating a Muliply Imputed Data Set (mids) object
mids <- ImputeData(testdata, m = 5, maxit = 5)
gfo <- BackwardEliminate(y ~ x + w + z, data = mids)
cv <- CrossValidate(gfo)
impact <- GetVariableImpacts(cv)
impact

google/glmmplus documentation built on May 17, 2019, 7:47 a.m.