miceadds (version 2.2-0)

NestedImputationList: Functions for Analysis of Nested Multiply Imputed Datasets

Description

The function NestedImputationList takes a list of lists of datasets and converts this into an object of class NestedImputationList.

Statistical models can be estimated with the function with.NestedImputationList.

The mitools::MIcombine method can be used for objects of class NestedImputationResultList which are the output of with.NestedImputationList.

Usage

NestedImputationList( datasets )
"print"(x , ...)
"MIcombine"(results, ...)

Arguments

datasets

List of lists of datasets which are created by nested multiple imputation.

x

Object of class NestedImputationResultsList

results

Object of class NestedImputationResultsList

...

Further arguments to be passed.

Value

Function NestedImputationList: Object of class NestedImputationList.Function MIcombine.NestedImputationList: Object of class mipo.nmi.

See Also

with.NestedImputationList, within.NestedImputationList, pool.mids.nmi, NMIcombine

Examples

## Not run: 
# #############################################################################
# # EXAMPLE 1: Nested multiple imputation and conversion into an object of class
# #            NestedImputationList 
# #############################################################################
# 
# library(BIFIEsurvey)
# data(data.timss2 , package="BIFIEsurvey" )
# datlist <- data.timss2      
# 
# # remove first four variables
# M <- length(datlist)
# for (ll in 1:M){
#     datlist[[ll]] <- datlist[[ll]][ , -c(1:4) ]
#                 }
#                 
# # nested multiple imputation using mice
# imp1 <- mice.nmi( datlist ,  m=3 , maxit=2 )
# summary(imp1)
# 
# # create object of class NestedImputationList
# datlist1 <- mids2datlist( imp1 )
# datlist1 <- NestedImputationList( datlist1 )
# 
# # estimate linear model using with
# res1 <- with( datlist1 , stats::lm( ASMMAT ~ female + migrant ) )
# # pool results
# mres1 <- mitools::MIcombine( res1 )
# summary(mres1)
# coef(mres1)
# vcov(mres1)
# ## End(Not run)