[R] Extract estimates from each dataset: MI package

[KDT]

Thanks Joris and pardon me for over assuming. let me add more information.
My data is very huge and it is nested with repeated measurements. This is a
sample of the dataset.
     id sex lang sch      age chapt item length Resp
      1   1        0     8 27.02095       3    1      4      0
      1   1        0     8 27.02095       3    2     10      0
      1   1        0     8 27.02095       1    3     10      0
      1   1        0     8 27.02095       2    4     68      0
      1   1        0     8 27.02095       2    5     63     NA
      2   1        1     4 21.04946       3    1      4     NA
      2   1        1     4 21.04946       3    2     10      1
      2   1        1     4 21.04946       1    3     10      0
      2   1        1     4 21.04946       2    4     68     NA
      2   1        1     4 21.04946       2    5     63     NA
      3   1        0     1 29.69218       3    1      4     NA
      3   1        0     1 29.69218       3    2     10      1
      3   1        0     1 29.69218       1    3     10      1
      3   1        0     1 29.69218       2    4     68      1
      3   1        0     1 29.69218       2    5     63      1
      4   1        0     3 26.95328       3    1      4      0
      4   1        0     3 26.95328       3    2     10     NA
      4   1        0     3 26.95328       1    3     10      1
      4   1        0     3 26.95328       2    4     68      0
      4   1        0     3 26.95328       2    5     63     NA 
 he imputation model  and the model I am fitting are is as follows:
imp <- mi(mydata,n.iter=6,n.imp=3, rand.imp.method="bootstrap",
preprocess=F,
	 run.past.convergence=F, check.coef.convergence=T,add.noise=F, post.run=F)

model <- lmer.mi(Resp~1+ sex + lang + age + length + (1|id) + (1|item)+
(1|sch) + (1|chapt),imp, family=binomial(link="logit"))
print(modelmi)
display(modelmi)

After fitting a model, I can use display(model) to visualize the pooled
estimates as well as estimates of each imputed dataset. I can visualize
these also by typing print(model).

However I would like to know how I can extract estimates of single imputed
datasets. I have tried several commands for the first imputed dataset like
mi.pooled$coefficients[[1]] , summary(model$analyses[[1]], etc etc but each
do not work and i keep getting an error "object of type 'closure' is not
subsettable"

Hope this makes my question clear.

Thanks


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