Apply Jump-to-Reference(J2R) Method to Update JAGS MCMC outputs under MAR for Generalized Linear Model

Internal function to obtain Jump-to-Reference(J2R) MCMC from an MAR object.

glm_MI_J2R(object, treatment, start = NULL, end = NULL, thin = NULL,
  exclude_chains = NULL, subset = FALSE, seed = 5432, mess = FALSE,
  ...)

Arguments

object: an object of class remiod
treatment: the variable name of treatment. Reference level of treatment should be coded as 0.
start: first iteration to be used
end: last iteration to be used
thin: thinning to be applied
exclude_chains: optional vector of numbers, indexing MCMC chains to be excluded from the output
subset: subset of parameters (columns of the mcmc object) to be used
seed: optional seed value.
mess: logical, should messages be displayed?
...: optional arguments pass from main function.

A matrix of MCMC samples with all monitored parameters.A subset of the MCMC sample can be selected using start, end and thin.