R/BIFIE_by_helper_pureR.R

Defines functions BIFIE_by_helper_pureR

## File Name: BIFIE_by_helper_pureR.R
## File Version: 0.17

############################################################
BIFIE_by_helper_pureR <- function(
        group_values, userfct, datalistM,
        N, vars_index, wgt_, wgtrep, Nimp, RR, fayfac,
        group_index, userparnames)
{

    G <- length(group_values)

    h1 <- do.call( userfct, list( "X"=datalistM[1:N, vars_index], "w"=wgt_ ) )
    NP <- length(h1)

    parsM <- matrix( NA, nrow=NP*G, ncol=Nimp )
    parsrepM <- matrix( NA, nrow=NP*G, ncol=Nimp*RR)
    sumwgtM <- matrix( NA, nrow=G, ncol=Nimp )
    ncasesM <- matrix( NA, nrow=G, ncol=Nimp )


    cat("|")
s1 <- Sys.time()

    for (ii in 1:Nimp){
        # ii <- 1  # imputed dataset

        cat("-"); utils::flush.console();
        dat.ii <- datalistM[ 1:N + (ii-1)*N, ]

        for (gg in 1:G){
            ind.gg <- which( dat.ii[, group_index ]==group_values[gg] )
            ind.gg <- stats::na.omit(ind.gg)
            dat1 <- dat.ii[ ind.gg, vars_index ]
            w1 <- wgt_[ ind.gg ]
            sumwgtM[gg,ii] <- sum(w1)
            ncasesM[gg,ii] <- length(w1)
            wgtrep1 <- wgtrep[ ind.gg, ]
            h1 <- do.call( userfct, list( "X"=dat1, "w"=w1 ) )
            parsM[ 1:NP + (gg-1)*NP, ii ] <- h1
            h1 <- sapply( 1:RR, FUN=function(rr){
                    do.call( userfct, list( "X"=dat1, "w"=wgtrep1[, rr] ) )
                                    } )
            parsrepM[ 1:NP + (gg-1)*NP, 1:RR + (ii-1)*RR ] <- h1
        }
    }
        cat("|\n"); utils::flush.console()

    # statistical inference
    res0 <- bifie_comp_vcov_within( parsM, parsrepM, fayfac,
                RR, Nimp )
    u_diag <- res0$u_diag
    eps <- 1E-15
    qhat <- parsM
    u_diag <- array( u_diag, dim=c(NP*G, Nimp) )
    qbar <- rowMeans(qhat)
    var_w <- rowMeans(u_diag)
    var_b <- rowSums( ( parsM - qbar )^2 / ( Nimp - 1 + eps ) )
    df <- rubin_calc_df2( B=var_b, W=var_w, Nimp, digits=2)
    var_t <- ( 1 + 1 / Nimp) * var_b + var_w
    fmi <-  ( 1+1/Nimp) * var_b / ( var_t + eps )
    parsL <- list( pars=qbar, pars_se=sqrt( var_t ),
            pars_varWithin=var_w, pars_varBetween=var_b,
            pars_fmi=fmi, df=df)

    # arrange output
    res <- list( parsM=parsM, parsrepM=parsrepM, userfct=userfct,
                    ncasesM=ncasesM, sumwgtM=sumwgtM, N=N, NP=NP,
                    WW=RR    , parsL=parsL )
    return(res)
}
############################################################

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BIFIEsurvey documentation built on Oct. 17, 2018, 9:06 a.m.