prep_MCMC: Extract MCMC samples of monitored parameters from JointAI...

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

Extract MCMC samples of monitored parameters from JointAI object. Code from JointAI.

Description

Extract MCMC samples of monitored parameters from JointAI object. Code from JointAI.

Usage

prep_MCMC(object, treatment = NULL, delta = 0, start = NULL,
  end = NULL, thin = NULL, subset = FALSE, exclude_chains = NULL,
  warn = TRUE, mess = TRUE, ...)

Arguments

object	an object of class JointAI
treatment	the variable name of treatment. Reference level of treatment should be coded as 0.
delta	specific value used for Delta adjustment, applicable only for method="delta".
start	first iteration to be used
end	last iteration to be used
thin	thinning to be applied
subset	subset of parameters (columns of the mcmc object) to be used
exclude_chains	optional vector of numbers, indexing MCMC chains to be
warn	logical, should warning messages be displayed?
mess	logical, should messages be displayed?
...	optional arguments passed from remiod.

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