CRAN/E | contsurvplot

contsurvplot

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

Installation

About

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.

Citation contsurvplot citation info
github.com/RobinDenz1/contsurvplot
robindenz1.github.io/contsurvplot/
Bug report File report

Key Metrics

Version 0.2.1
Published 2023-08-15 256 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks contsurvplot results

Downloads

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Maintainer

Maintainer

Robin Denz

robin.denz@rub.de

Authors

Robin Denz

aut / cre

Contacts

Material

README
NEWS
Reference manual
Package source

Vignettes

Visualizing the Causal Effect of a Continuous Variable on a Time-To-Event Outcome

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

contsurvplot archive

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