Package: TieFreeCensor
Type: Package
Title: Algorithm for Generating Tie-Free Progressive Type-II Censored
        Samples
Version: 0.1.0
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: Generates tie-free progressive Type-II censored samples
        from discrete distributions and user-specified discrete
        probability mass functions (PMF) or cumulative distribution
        functions (CDF). Provides maximum likelihood estimation (MLE),
        Bayesian estimation via Markov chain Monte Carlo (MCMC)
        Metropolis-within-Gibbs sampling, likelihood-based parametric
        bootstrap goodness-of-fit (GOF) tests, profile log-likelihood
        diagnostics, and discrete survival and probability
        calculations. Methods are based on Ahmad and Mansour (2026)
        <doi:10.1155/jom/3657078>, Balakrishnan and Dembinska (2008)
        <doi:10.1016/j.jspi.2007.02.006>, Joe and Zhu (2005)
        <doi:10.1002/bimj.200410102>, and Balakrishnan and Aggarwala
        (2000, ISBN:978-1-4612-1334-5).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-09-21 09:40:42 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: 2026-08-21 12:41:06 UTC
RemoteUrl: https://github.com/cran/TieFreeCensor
RemoteRef: HEAD
RemoteSha: 7d1ff536b01ebbee16361edc70619983ea9c0df9