contsurvplot: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome

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>.

Package details

AuthorRobin Denz [aut, cre]
MaintainerRobin Denz <robin.denz@rub.de>
LicenseGPL (>= 3)
Version0.2.1
URL https://github.com/RobinDenz1/contsurvplot https://robindenz1.github.io/contsurvplot/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("contsurvplot")

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contsurvplot documentation built on Aug. 15, 2023, 9:06 a.m.