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contsurvplot  

Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
View on CRAN: Click here


Download and install contsurvplot package within the R console
Install from CRAN:
install.packages("contsurvplot")

Install from Github:
library("remotes")
install_github("cran/contsurvplot")

Install by package version:
library("remotes")
install_version("contsurvplot", "0.2.1")



Attach the package and use:
library("contsurvplot")
Maintained by
Robin Denz
[Scholar Profile | Author Map]
First Published: 2022-08-16
Latest Update: 2023-08-15
Description:
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) .
How to cite:
Robin Denz (2022). contsurvplot: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome. R package version 0.2.1, https://cran.r-project.org/web/packages/contsurvplot. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.1.0 (2022-08-16 11:20), 0.2.0 (2023-01-05 22:10)
Other packages that cited contsurvplot R package
View contsurvplot citation profile
Other R packages that contsurvplot depends, imports, suggests or enhances
Complete documentation for contsurvplot
Functions, R codes and Examples using the contsurvplot R package
Some associated functions: contsurvplot-package . curve_cont . plot_surv_3Dsurface . plot_surv_animated . plot_surv_area . plot_surv_at_t . plot_surv_contour . plot_surv_heatmap . plot_surv_lines . plot_surv_matrix . plot_surv_quantiles . plot_surv_rmst . plot_surv_rmtl . 
Some associated R codes: Full contsurvplot package functions and examples
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