multipleEI returns m multiple editimputed datasets.
1  multipleEI(model.obj, n.burnin, m, int.btw.EI, show.iter=TRUE)

model.obj 

n.burnin 
number of burn in iterations. 
m 
number of multiple editimputed datasets. 
int.btw.EI 
interval (number of iterations) between EI datasets. 
show.iter 

The total number of MCMC iterations is (n.burnin
+ m
* int.btw.EI
). Please see the example in the demo folder for more detailed explanation.
array
of (m, n, p) dimension where m is the number of editimputed data sets, n is the number of records and p is the number of variables.
1 2 3 4 5 6 7 8 9 10 11  data(SimpleEx)
data1 = readData(SimpleEx$D.obs, SimpleEx$Ratio.edit, NULL, SimpleEx$Balance.edit)
model1 = createModel(data1, 15)
## get 3 editimputed data from MCMC by storing every 100 iterations after 50 burnin
# result1 = multipleEI(model1, n.burnin=50, m=3, int.btw.EI=100)
# dim(result1)
## [1] 3 1000 4
## m=3 Editimputed datasets of n=1000 records with p=4 variables

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