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 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) . 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: Encoding: UTF-8 RoxygenNote: 7.2.3 NeedsCompilation: no Packaged: 2023-08-15 07:35:59 UTC; Robin Denz Author: Robin Denz [aut, cre] Repository: CRAN Date/Publication: 2023-08-15 08:00:03 UTC