DESCRIPTION

Package: contsurvplot
Title: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Version: 0.2.1
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: 7.2.3