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>.

Version:	0.2.1
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
Published:	2023-08-15
Author:	Robin Denz [aut, cre]
Maintainer:	Robin Denz <robin.denz at rub.de>
Contact:	<robin.denz@rub.de>
BugReports:	https://github.com/RobinDenz1/contsurvplot/issues
License:	GPL (≥ 3)
URL:	https://github.com/RobinDenz1/contsurvplot, https://robindenz1.github.io/contsurvplot/
NeedsCompilation:	no
Citation:	contsurvplot citation info
Materials:	README NEWS
CRAN checks:	contsurvplot results

Documentation:

Reference manual:	contsurvplot.pdf
Vignettes:	Visualizing the Causal Effect of a Continuous Variable on a Time-To-Event Outcome

Downloads:

Package source:	contsurvplot_0.2.1.tar.gz
Windows binaries:	r-devel: contsurvplot_0.2.1.zip, r-release: contsurvplot_0.2.1.zip, r-oldrel: contsurvplot_0.2.1.zip
macOS binaries:	r-release (arm64): contsurvplot_0.2.1.tgz, r-oldrel (arm64): contsurvplot_0.2.1.tgz, r-release (x86_64): contsurvplot_0.2.1.tgz, r-oldrel (x86_64): contsurvplot_0.2.1.tgz
Old sources:	contsurvplot archive

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