DESCRIPTION

Package: survminer
Type: Package
Title: Drawing Survival Curves using 'ggplot2'
Version: 0.4.9
Date: 2021-03-09
Authors@R: c(
    person("Alboukadel", "Kassambara", role = c("aut", "cre"), email = "alboukadel.kassambara@gmail.com"),
    person("Marcin", "Kosinski", role = c("aut"), email = "m.p.kosinski@@gmail.com"),
    person("Przemyslaw", "Biecek", role = c("aut"), email = "przemyslaw.biecek@gmail.com"),
    person("Scheipl", "Fabian", role = c("ctb"), email = "fabian.scheipl@gmail.com"))
Description: Contains the function 'ggsurvplot()' for drawing easily beautiful
    and 'ready-to-publish' survival curves with the 'number at risk' table
    and 'censoring count plot'. Other functions are also available to plot 
    adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
Depends:
    ggplot2,
    ggpubr(>= 0.1.6)
Imports:
    grid,
    gridExtra (>= 2.0),
    magrittr,
    maxstat,
    methods,
    scales,
    survival,
    stats,
    broom,
    dplyr,
    tidyr,
    survMisc,
    purrr,
    tibble,
    rlang,
    ggtext (>= 0.1.0)
Suggests:
    knitr,
    flexsurv,
    cmprsk,
    markdown,
    testthat,
    rmarkdown
VignetteBuilder: knitr
URL:  https://rpkgs.datanovia.com/survminer/index.html
BugReports: https://github.com/kassambara/survminer/issues
RoxygenNote: 7.1.1
Collate: 
    'BMT.R'
    'BRCAOV.survInfo.R'
    'add_ggsurvplot.R'
    'utilities.R'
    'surv_summary.R'
    'ggsurvtable.R'
    'surv_pvalue.R'
    'ggsurvplot_df.R'
    'ggsurvplot_core.R'
    'ggsurvplot_add_all.R'
    'ggsurvplot_list.R'
    'ggsurvplot_group_by.R'
    'ggsurvplot.R'
    'arrange_ggsurvplots.R'
    'ggadjustedcurves.R'
    'ggcompetingrisks.R'
    'ggcoxdiagnostics.R'
    'ggcoxfunctional.R'
    'ggcoxzph.R'
    'ggflexsurvplot.R'
    'ggforest.R'
    'ggsurvevents.R'
    'ggsurvplot_combine.R'
    'ggsurvplot_facet.R'
    'ggsurvtheme.R'
    'ggurvplot_arguments.R'
    'myeloma.R'
    'pairwise_survdiff.R'
    'surv_cutpoint.R'
    'surv_group_by.R'
    'surv_fit.R'
    'surv_median.R'