1 |
t |
a tibble of effect sizes (one column called 't') |
x |
a tibble of covariates |
v |
a tibble of estimation variances (one column called 'v') |
m |
number of imputations to generate |
variables |
list of strings indicating which variables in (x) to impute} \item{types}{list of strings indicating covariate types ('binary', 'continuous')} \item{fixed}{boolean indicates fixed/random effects model} \item{burn_in}{number of burn-in iterations for chained equations} } { mids object of imputed datasets } { Generate imputations for a multiple covariates } |
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