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 |
variable |
a string indicating which variable in (x) to impute} \item{type}{string indicating covariate type ('binary', 'continuous')} \item{fixed}{boolean indicates fixed/random effects model} \item{to_impute}{optional argument, list of row indices to impute} } { mids object of imputed datasets } { Generate imputations for a single covariate } |
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