contsurvplot
0.2.3Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Overview
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.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 69%
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Package metadata
- First published
- 2022-08-16
- Total releases
- 5 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet