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: 2024-02-02 15:50:36 UTC; dkangeyan
Author: Divy Kangeyan [aut, cre],
  Jin Xie [aut]
Maintainer: Divy Kangeyan <dkangeyan@kitepharma.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-02-03 12:30:15 UTC
Built: R 4.6.0; ; 2026-04-25 14:17:34 UTC; unix
