mi_comb: combine multiple imputatiton results
In yuliasidi/bin2mi: Binary Multiple Imputations

Description Usage Arguments Details Value See Also Examples

combines multiple imputation results

1	mi_comb(dt, level = c(1, 2), phat, var_phat)

`dt`	dataframe/tibble of summaized estimates of parameter of interest per imputation
`level`	factor, Default: c(1, 2), specifies if the imputation was performed at one-stage (level=1), or two-stages (level=2)
`phat`	numeric, column of estimates for parameter of interest
`var_phat`	numeric, column of estimates of variance of phat

DETAILS

tibble

sym cor

dt <- tibble::tibble(y = rbinom(100,1,0.6))
dt$y.m <- c(rep(NA, 10), dt$y[11:100])
dt$r <- ifelse(is.na(dt$y.m)==TRUE, 1, 0)
dt_mi <- mi(dt, 5)
dt_mi$phat_var <- dt_mi$phat*(1 - dt_mi$phat)/dt_mi$n_obs
mi_comb(dt_mi, level = 1, 'phat', 'phat_var')