Package: contsurvplot
Title: Visualize the Effect of a Continuous Variable on a Time-to-Event
        Outcome
Version: 0.2.3
Authors@R: 
    person("Robin", "Denz", , "robin.denz@rub.de", role = c("aut", "cre"))
Maintainer: Robin Denz <robin.denz@rub.de>
Description: Graphically display the (causal) effect of a continuous
        variable on a time-to-event outcome using multiple different
        types of plots based on g-computation. Those functions include,
        among others, survival area plots, survival contour plots,
        survival quantile plots and 3D surface plots. Due to the use of
        g-computation, all plot allow confounder-adjustment naturally.
        For details, see Robin Denz, Nina Timmesfeld (2023)
        <doi:10.1097/EDE.0000000000001630>.
License: GPL (>= 3)
URL: https://github.com/RobinDenz1/contsurvplot,
        https://robindenz1.github.io/contsurvplot/
BugReports: https://github.com/RobinDenz1/contsurvplot/issues
Imports: ggplot2 (>= 3.4.0), dplyr, rlang, riskRegression, foreach
Suggests: survival, pammtools, gganimate, transformr, plotly, reshape2,
        doParallel, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr (>=
        1.0.0), covr
VignetteBuilder: knitr
Config/testthat/edition: 3
Contact: <robin.denz@rub.de>
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://robindenz1.r-universe.dev
Date/Publication: 2026-01-29 08:21:40 UTC
RemoteUrl: https://github.com/robindenz1/contsurvplot
RemoteRef: HEAD
RemoteSha: 44e11aa5de7164a2005e462e616e2f1f8d23f4d9
NeedsCompilation: no
Packaged: 2026-06-14 07:33:15 UTC; root
Author: Robin Denz [aut, cre]