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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 |
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Author | Robin Denz [aut, cre] |
Maintainer | Robin Denz <robin.denz@rub.de> |
License | GPL (>= 3) |
Version | 0.2.1 |
URL | https://github.com/RobinDenz1/contsurvplot https://robindenz1.github.io/contsurvplot/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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