list.models: Listing the sequence of models used for imputation

In xsswang/remiod: Reference-Based Multiple Imputation for Ordinal/Binary Response

Listing the sequence of models used for imputation

Description

Listing the sequence of models used for imputation

Usage

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

# 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)

list.models(test)

xsswang/remiod documentation built on Feb. 20, 2023, 9:29 a.m.