Package: coxmnar
Title: Cox Regression with Missing not at Random Failure Indicators
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: Implements estimation for the Cox (1972, 1975)
        <doi:10.1111/j.2517-6161.1972.tb00899.x>
        <doi:10.1093/biomet/62.2.269> proportional hazards model when
        the failure indicator (cause of failure) is missing not at
        random (MNAR), following the two adjusted imputation-based
        estimating equations of Liu and Liu (2026)
        <doi:10.1007/s11222-026-10857-1>. Also provided for comparison
        are the full-data partial-likelihood estimator of Andersen and
        Gill (1982) <doi:10.1214/aos/1176345976>, the complete-case
        estimator, and the missing-at-random imputation estimator of
        Liu and Wang (2010, Statistica Sinica, 20, 1125-1142). The
        probability models for the failure indicator and for the
        missingness mechanism are estimated jointly by maximum
        likelihood following Sun, Xie, and Liang (2013)
        <doi:10.1007/s11425-012-4492-x>, and a Nadaraya-Watson
        kernel-smoothed estimator of the missingness propensity is
        constructed following Qiu, Chen, and Zhou (2015)
        <doi:10.1016/j.spl.2014.12.006>. Both an asymptotic
        (sandwich-type) variance estimator and a nonparametric
        bootstrap variance estimator are provided. When failure
        indicators are fully observed the estimators reduce
        algebraically to the classical Cox partial-likelihood
        estimator.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: survival (>= 3.5-0), stats, Rdpack
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
RoxygenNote: 7.3.3
VignetteBuilder: knitr
RdMacros: Rdpack
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-09-30 09:28:32 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: 2026-07-31 15:10:02 UTC
RemoteUrl: https://github.com/cran/coxmnar
RemoteRef: HEAD
RemoteSha: 8dc5d1de963067e9d8e12565230bd93d0aae7311