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superdiag  

A Comprehensive Test Suite for Testing Markov Chain Nonconvergence
View on CRAN: Click here


Download and install superdiag package within the R console
Install from CRAN:
install.packages("superdiag")

Install from Github:
library("remotes")
install_github("cran/superdiag")

Install by package version:
library("remotes")
install_version("superdiag", "2.0")



Attach the package and use:
library("superdiag")
Maintained by
Le Bao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-04-25
Latest Update: 2020-12-05
Description:
The 'superdiag' package provides a comprehensive test suite for testing Markov Chain nonconvergence. It integrates five standard empirical MCMC convergence diagnostics (Gelman-Rubin, Geweke, Heidelberger-Welch, Raftery-Lewis, and Hellinger distance) and plotting functions for trace plots and density histograms. The functions of the package can be used to present all diagnostic statistics and graphs at once for conveniently checking MCMC nonconvergence.
How to cite:
Le Bao (2012). superdiag: A Comprehensive Test Suite for Testing Markov Chain Nonconvergence. R package version 2.0, https://cran.r-project.org/web/packages/superdiag. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:10), 1.1 (2012-04-25 06:39)
Other packages that cited superdiag R package
View superdiag citation profile
Other R packages that superdiag depends, imports, suggests or enhances
Complete documentation for superdiag
Functions, R codes and Examples using the superdiag R package
Some associated functions: hellinger.diag . superdiag . superdiagPlot . tobit.list . 
Some associated R codes: hellinger.diag.R . plot.R . superdiag.R . tobit.list.R . zzz.R .  Full superdiag package functions and examples
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