Reference

All functions

clm_MI_CR()

Apply Copy-Reference(CR) Method to Update JAGS MCMC outputs under MAR for Cumulative Logistic Model

clm_MI_delta()

Apply Delta adjustment to Update JAGS MCMC outputs under MAR for Cumulative Logistic Model

clm_MI_J2R()

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

extract_MIdata()

Extract a specified number of multiple imputed datasets

get_MI_RB()

Create multiple imputed datasets based on assigned imputation method.

get_Mlist()

Prepare imputation-model-related information

glm_MI_CR()

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

glm_MI_delta()

Apply Delta adjustment to Update JAGS MCMC outputs under MAR for Generalized Linear Model

glm_MI_J2R()

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

list.models()

Listing the sequence of models used for imputation

mcmcplot()

Visualizing the posterior sample Creates a set of plots for visually evaluating convergence and mixing of the chains from the MCMC sample of an object of class 'remiod'.

miAnalyze()

Takes multiply imputed datasets (as generated by the extract_MIdata() function) and runs an analysis function on each of them.

remiod()

Reference-Based Multiple Imputation for Ordinal/Binary Response

schizo

National Institute of Mental Health shizophrenia study

schizob

wide format of binary response of Schizophrenia data.

schizow

wide format of ordinal response of Schizophrenia data.

summary() print(<summary.remiod>) coef(<summary.remiod>)

Summarize the results from an object of class remiod

tang_MI_RB()

Implement controlled multiple imputation algorithms proposed by Tang