survminer
An R package for creating publication-ready survival plots and conducting survival analysis using ggplot2.
What is survminer?
survminer is an R package that provides tools for survival analysis and visualization. It enables users to create customizable, publication-quality survival plots, perform Cox model diagnostics, and conduct competing risks analysis, all integrated with the ggplot2 graphics system. It solves the problem of generating informative and aesthetically pleasing survival curves directly within the R ecosystem.
Biostatisticians, clinical researchers, epidemiologists, and data analysts working with time-to-event data who need to create standardized survival plots and perform routine survival analyses in R.
Developers choose survminer because it seamlessly bridges the gap between the statistical output of the survival package and the flexible, publication-ready graphics of ggplot2, offering extensive customization options not available in base R plotting functions.
Overview
Survival Analysis and Visualization
Use Cases
Best For
- Creating Kaplan-Meier survival curves for clinical trial reports
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