Package: OneSampleLogRankTest
Title: One-Sample Log-Rank Test
Version: 0.9.2
Imports: magrittr, dplyr, ggplot2, survival, survminer, rlang
Authors@R: 
    c(person(given = "Divy",
           family = "Kangeyan",
           role = c("aut", "cre"),
           email = "dkangeyan@kitepharma.com"),
           person(given = "Jin",
           family = "Xie",
           role = c("aut"),
           email = "jxie3@kitepharma.com"))
Description: The log-rank test is performed to assess the survival
        outcomes between two group. When there is no proper control
        group or obtaining such data is cumbersome, one sample log-rank
        test can be applied. This package performs one sample log-rank
        test as described in Finkelstein et al.
        (2003)<doi:10.1093/jnci/djt227> and variation of the test for
        small sample sizes which is detailed in FD Liddell
        (1984)<doi:10.1136/jech.38.1.85> paper. Visualization function
        in the package generates Kaplan-Meier Curve comparing survival
        curve of the general population against that of the population
        of interest.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 07:07:35 UTC; root
Author: Divy Kangeyan [aut, cre], Jin Xie [aut]
Maintainer: Divy Kangeyan <dkangeyan@kitepharma.com>
Depends: R (>= 3.5.0)
Config/pak/sysreqs: cmake make libicu-dev libjpeg-dev libpng-dev
        libxml2-dev libssl-dev
Repository: https://dkangeyan.r-universe.dev
Date/Publication: 2024-02-04 02:32:41 UTC
RemoteUrl: https://github.com/cran/OneSampleLogRankTest
RemoteRef: HEAD
RemoteSha: b880ed92a61127287ce6e74084632686b5fef643