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MICE is an R package which implements Multivariate Imputation by Chained Equations using Fully Conditional Specification
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Error with pool() during multivariage multiple missing impuation with mice package [closed]
library (mice)
## imputing missing data with mice libray
imputed_Data <- mice(iris.mis, m=5, maxit = 50, method = 'pmm', seed = 500)
### build predictive model
fit <- with(data = iris.mis, expr = lm … And How can I get one combined data of five imputed dataset using mice package?
I am using R 4.0.0 and mice package 3.9.0, windows 10. …