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
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-01-29 08:32:23 UTC; Robin Denz
Author: Robin Denz [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-29 09:00:02 UTC
Built: R 4.6.0; ; 2026-04-30 09:30:57 UTC; unix
