Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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:
|
Try the contsurvplot package in your browser
Any scripts or data that you put into this service are public.
