R/frm_em_score_function_prepare_model.R

In mdmb: Model Based Treatment of Missing Data

## File Name: frm_em_score_function_prepare_model.R
## File Version: 0.166


frm_em_score_function_prepare_model <- function(mm, model_results,
        x, index_coefs_vec, index_sigma_vec, dat, ind_mm )
{
    l1_mm <- index_coefs_vec[[mm]]
    l2_mm <- index_sigma_vec[[mm]]
    #*** x first argument
    x1 <- x[ l1_mm ]
    model_results[[mm]]$coefficients <- x1
    if ( length(l2_mm) > 0 ){
        model_results[[mm]]$sigma <- x[ l2_mm ]
    }
    args <- list(model=model_results[[mm]], y=dat[, ind_mm$dv_vars ],
                          case=dat$case )
    args <- frm_em_linreg_density_extend_args(args=args, ind_mm=ind_mm)
    res <- do.call( what=ind_mm$R_density_fct, args=args )
    return(res)
}