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

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

## Documentation for package ‘contsurvplot’ version 0.2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

contsurvplot-package | Visualize the Effect of a Continuous Variable on a Time-To-Event Outcome
curve_cont | Estimate Counterfactual Survival or Failure Probabilities for Levels of a Continuous Variable
plot_surv_3Dsurface | Plot the Survival Curve or CIF Dependent on a Continuous Variable as a 3D Surface
plot_surv_animated | Create an Animated Plot of Survival Curves of CIFs as a Function of a Continuous Variable
plot_surv_area | Plot a Survival Area Plot for the Effect of a Continuous Variable on a Time-To-Event Outcome
plot_surv_at_t | Plot the Survival Probability or CIF at a Fixed Point in Time as a Function of a Continuous Variable
plot_surv_contour | Create a Contour Plot of the Effect of a Continuous Covariate on the Survival Probability
plot_surv_heatmap | Plot a Heatmap of the Effect of a Continuous Covariate on a Time-To-Event Outcome
plot_surv_lines | Plot Individual Survival Curves or CIFs for Specific Values of a Continuous Covariate
plot_surv_matrix | Plot a Discretized Heatmap of the Effect of a Continuous Covariate on a Time-To-Event Outcome
plot_surv_quantiles | Plot Survival Time Quantiles as a Function of a Continuous Variable
plot_surv_rmst | Plot the Effect of a Continuous Variable on the Restricted Mean Survival Time
plot_surv_rmtl | Plot the Effect of a Continuous Variable on the Restricted Mean Time Lost