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LugsailGR  

Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LugsailGR", "0.1.0")



Attach the package and use:
library("LugsailGR")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-05
Latest Update: 2026-08-05
Description:
Provides generalized univariate and multivariate 'Gelman-Rubin' convergence diagnostics, effective sample size ('ESS') estimates, and principled termination thresholds for Markov chain Monte Carlo ('MCMC') simulations, based on Vats and Knudson (2021) <doi:10.1214/20-STS812>. The package incorporates replicated lugsail batch means variance estimators to construct stable convergence statistics for single and multiple chains. Additionally, it offers comprehensive tools for evaluating 'MCMC' output generated from user-supplied probability density functions ('PDF') or log-likelihoods, including implementations for censored data models under right, left, interval, 'Type-I', 'Type-II', progressive, and hybrid censoring schemes.
How to cite:
Shikhar Tyagi (2026). LugsailGR: Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC. R package version 0.1.0, https://cran.r-project.org/web/packages/LugsailGR. Accessed 24 Oct. 2026.
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Complete documentation for LugsailGR
Functions, R codes and Examples using the LugsailGR R package
Full LugsailGR package functions and examples
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