## File Name: lsem_fit_initial_model_sufficient_statistics.R
## File Version: 0.075
lsem_fit_initial_model_sufficient_statistics <- function(dat, variables_model,
sampling_weights, has_meanstructure, is_imputed=FALSE, Nimp=0)
{
dat0 <- dat
if (!is_imputed){
dat0 <- list(dat0)
}
Nimp <- max(1, Nimp)
wmean <- list()
wcov <- list()
Nobs <- list()
for (ii in 1L:Nimp){
dat <- dat0[[ii]]
data_suff <- dat[, variables_model]
dat_resp <- 1 - is.na(data_suff)
wmean[[ii]] <- lsem_weighted_mean( x=data_suff, weights=sampling_weights,
x_resp=dat_resp)$mean
res <- lsem_weighted_cov( x=data_suff, weights=sampling_weights, x_resp=dat_resp)
wcov[[ii]] <- res$cov
Nobs[[ii]] <- round(res$Nobs)
}
Nobs <- lsem_aggregate_statistics(x=Nobs)
wcov <- lsem_aggregate_statistics(x=wcov)
wmean <- lsem_aggregate_statistics(x=wmean)
if (! has_meanstructure){
wmean <- NULL
}
#--- output
res <- list(wmean=wmean, wcov=wcov, Nobs=Nobs )
return(res)
}
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