Package: StressCensoR
Type: Package
Title: Generalized Stress-Strength Reliability Estimation Under
        Censoring Schemes
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: Generalized framework for data generation, Maximum
        Likelihood Estimation, and Bayesian estimation of
        stress-strength reliability R = P(Y < X) for arbitrary
        continuous distributions under censoring schemes based on
        Chapter 9 of 'Balakrishnan', 'Cramer', and 'Kundu' (2023)
        <ISBN:978-0-12-398387-9>. Users provide probability density
        functions, cumulative distribution functions, survival
        functions, support bounds, parameter ranges, and sample sizes.
        Implements data generation under Type-I, Type-II, progressive
        Type-II, Type-I hybrid, Type-II hybrid, generalized hybrid,
        progressive hybrid, joint, block random, middle, and truncation
        censoring schemes, accompanied by diagnostic histograms, dot
        plots, and autocorrelation plots. Maximum Likelihood Estimation
        supports optimization routines including 'Newton-Raphson',
        'Broyden'-'Fletcher'-'Goldfarb'-'Shanno' ('BFGS'), 'BFGS' in R
        ('BFGSR'), 'Berndt'-'Hall'-'Hall'-'Hausman' ('BHHH'), Simulated
        Annealing ('SANN'), Conjugate Gradients ('CG'), and
        'Nelder'-'Mead' ('NM'), returning summaries ('AIC', 'coef',
        'logLik', 'nIter', 'stdEr', summary, 'vcov'). Bayesian
        estimation of stress-strength reliability R = P(Y < X) is
        performed via Gibbs sampling, Metropolis-Hastings algorithm,
        Importance Sampling, and 'Lindley' approximation (1980).
        Methods and censoring schemes are described in 'Balakrishnan',
        'Cramer', and 'Kundu' (2023, ISBN:978-0-12-398387-9), 'Lindley'
        (1980) <doi:10.1111/j.2517-6161.1980.tb01102.x>, 'Geweke'
        (1989) <doi:10.2307/2290062>, 'Metropolis' (1953)
        <doi:10.1063/1.1699114>, 'Hastings' (1970)
        <doi:10.1093/biomet/57.1.97>, 'Geman' and 'Geman' (1984)
        <doi:10.1109/TPAMI.1984.4767596>, 'Kundu' and 'Gupta' (2005)
        <doi:10.1016/j.jspi.2004.09.006>, 'Kundu' and 'Gupta' (2006)
        <doi:10.1016/j.csda.2005.02.007>, 'Berndt', 'Hall', 'Hall', and
        'Hausman' (1974) <doi:10.3386/t0003>, 'Fletcher' (1987,
        ISBN:978-0-471-91547-8), and 'Nelder' and 'Mead' (1965)
        <doi:10.1093/comjnl/7.4.308>.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-10-18 10:29:45 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 06:40:23 UTC
RemoteUrl: https://github.com/cran/StressCensoR
RemoteRef: HEAD
RemoteSha: dfa3079a978d2a4fcb107f08bcce455f724fdd5c