R/MIcombine.NestedImputationResultList.R

In miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

## File Name: MIcombine.NestedImputationResultList.R
## File Version: 0.07


MIcombine.NestedImputationResultList <- function(results, ...)
{
    Nimp <- c( length(results), length( results[[1]]) )
    p1 <- coef(results[[1]][[1]])
    NV <- length( p1 )
    NB <- Nimp[1]
    NW <- Nimp[2]
    #*** collect estimated variance matrices
    qhat <- array( NA, dim=c( NB, NW, NV ) )
    dimnames(qhat)[[3]] <- names(p1)
    dimnames(qhat)[[1]] <- paste0("Between_Imp", 1:NB )
    dimnames(qhat)[[2]] <- paste0("Within_Imp", 1:NW )

    u <- array( NA, dim=c( NB, NW, NV, NV) )
    dimnames(u)[[4]] <- dimnames(u)[[3]] <- names(p1)
    dimnames(u)[[1]] <- paste0("Between_Imp", 1:NB )
    dimnames(u)[[2]] <- paste0("Within_Imp", 1:NW )
    for (bb in 1:NB){
        for (ww in 1:NW){
            u[bb,ww,,] <- vcov( results[[bb]][[ww]] )
            qhat[bb,ww,] <- coef( results[[bb]][[ww]] )
        }
    }
    rval <- pool_nmi_scalar_helper( qhat=qhat, u=u, NV=NV, NB=NB, NW=NW )
    rval$Nimp <- Nimp
    class(rval) <- "mipo.nmi"
    return(rval)
}