Package: LugsailGR
Type: Package
Title: Generalized Gelman-Rubin Diagnostic and Effective Sample Size
        for MCMC
Version: 0.1.0
Date: 2026-07-26
Authors@R: c(
    person("Shikhar", "Tyagi", email = "shikhar1093tyagi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1606-0844")),
    person("Arvind", "Pandey", email = "arvindmzu@gmail.com", role = "aut"),
    person("Bhupendra", "Singh", email = "bhupendra.rana@gmail.com", role = "aut"),
    person("Vrijesh", "Tripathi", email = "vrijesh.tripathi@uwi.edu", role = "aut")
  )
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.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-10-05 10:53:09 UTC; root
Author: Shikhar Tyagi [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-1606-0844>), Arvind Pandey [aut],
        Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: https://shikhartyagi.r-universe.dev
Date/Publication: 2026-08-05 07:40:09 UTC
RemoteUrl: https://github.com/cran/LugsailGR
RemoteRef: HEAD
RemoteSha: 2b41ef774f66176ec996a0562573b44c41a24dc6