Listing the sequence of models used for imputation

list.models(object, details = FALSE, print = TRUE)

Arguments

object: an object of class remiod
details: logical. Default is FALSE, where listing all models in formula format. If TRUE, details of each models will be presented.
print: logical. Default is TRUE to print all imputation models or detailed imputation models.

Value

a list of formula of imputation models. If details=TRUE, information on the conditional distributions of the covariates in each imputation models. Note: the sequence of conditional models together specifies the joint distribution.

Examples


# \donttest{
# data(schizow)

test = remiod(formula = y6 ~ tx + y0 + y1 + y3, data = schizow,
              trtvar = 'tx', algorithm = 'jags', method="MAR",
              ord_cov_dummy = FALSE, n.adapt = 10, n.chains = 1,
              n.iter = 10, thin = 2, warn = FALSE, seed = 1234)
#> NOTE: Stopping adaptation
#> 
#> 

list.models(test)
#>   Order model_formula         
#> 1 1     y0 ~ tx               
#> 2 2     y1 ~ tx + y0          
#> 3 3     y3 ~ tx + y0 + y1     
#> 4 4     y6 ~ tx + y0 + y1 + y3
# }