# NOT RUN {
#Loading the dataset
data(osteoarthritis)
#Multiply imputing the missing values
imputed.datasets <- mice(osteoarthritis, m = 5, maxit = 10,
method = c("", "", "mean", "polyreg",
"logreg", "logreg", "logreg"))
#Estimating weights of observations in the multiply imputed datasets
weighted.datasets <- weightthem(OSP ~ AGE + SEX + BMI + RAC + SMK, imputed.datasets,
approach = 'within', method = 'nearest')
#Checking the 'weighted.datasets' object
is.wimids(weighted.datasets)
is(weighted.datasets)
# }
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