Package: UniIS
Type: Package
Title: Importance Sampling Inference for Censored Univariate Data
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: Distribution-independent framework for importance-sampling
        inference with univariate observations subject to censoring or
        truncation. Users provide probability functions and a proposal
        over model parameters. Constructs observed-data likelihood
        contributions, computes numerically stable importance weights,
        and supplies posterior, likelihood, predictive, diagnostic, and
        model-comparison summaries. Covers complete, right, left,
        interval, Type-I, Type-II, progressive Type-II, first-failure,
        progressive first-failure, doubly Type-II, middle-censored, and
        left/right-truncated data. Methods for importance sampling and
        censoring schemes are described in Geweke (1989)
        <doi:10.2307/2290062>, Hesterberg (1995)
        <doi:10.1080/00031305.1995.10476138>, Robert and Casella (2004,
        ISBN:978-0-387-21617-1), Kundu and Joarder (2006)
        <doi:10.1016/j.csda.2005.05.002>, Banerjee and Kundu (2008)
        <doi:10.1109/TR.2008.916890>, Iyer, Jammalamadaka, and Kundu
        (2008) <doi:10.1016/j.jspi.2007.03.062>, Wu and Kus (2009)
        <doi:10.1016/j.csda.2009.03.010>, Prajapati, Mitra, and Kundu
        (2019) <doi:10.1007/s13571-018-0167-0>, Mondal and Kundu (2020)
        <doi:10.1080/03610926.2018.1554128>, Balakrishnan and Aggarwala
        (2000, ISBN:980-1-4612-1334-5), Ding and Gui (2023)
        <doi:10.3390/math11092003>, Nagar, Kumar, and Krishna (2026)
        <doi:10.59467/IJASS.2026.22.1>, Goel and Krishna (2026)
        <doi:10.1007/s13198-026-03208-w>, Yadav, Jaiswal, and Yadav
        (2026) <doi:10.1007/s11135-026-02647-8>, and Goel, Kumar, and
        Krishna (2026, "Estimation in power Lindley distributions using
        balanced joint progressively Type-II censored data").
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
RoxygenNote: 7.3.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-06 10:24:22 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: 2026-08-06 10:10:02 UTC
RemoteUrl: https://github.com/cran/UniIS
RemoteRef: HEAD
RemoteSha: cc689f045511bb69916e78efc189d5d4ee68361c