mlim.mids {mlim} | R Documentation |
prepare "mids" class object
Description
takes "mlim" object and prepares a "mids" class for data analysis with multiple imputation.
Usage
mlim.mids(mlim, incomplete)
Arguments
mlim |
array of class "mlim", returned by "mlim" function |
incomplete |
the original data.frame with NAs |
Value
object of class 'mids', as required by 'mice' package for analyzing multiple imputation data
Author(s)
E. F. Haghish, based on code from 'prelim' frunction in missMDA R package
Examples
## Not run:
data(iris)
require(mice)
irisNA <- mlim.na(iris, p = 0.1, seed = 2022)
# adding unstratified NAs to all variables of a data.frame
MLIM <- mlim(irisNA, m=5, tuning_time = 180, doublecheck = T, seed = 2022)
# create the mids object for MICE package
mids <- mlim.mids(MLIM, irisNA)
# run an analysis on the mids data (just as example)
fit <- with(data=mids, exp=glm(Species~ Sepal.Length, family = "binomial"))
# then, pool the results!
summary(pool(fit))
## End(Not run)
[Package mlim version 0.3.0 Index]