MetaMice: Generate imputations for a multiple covariates

Usage Arguments

Usage

1
MetaMice(t, x, v, m = 5, variables, types, fixed = TRUE, burn_in = 10)

Arguments

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 }


j3schaue/metami documentation built on Oct. 17, 2020, 9:16 a.m.