README.md

In survivalAnalysis: High-Level Interface for Survival Analysis and Associated Plots

Purpose

The goal of survivalAnalysis is to provide a high-level, elegant interface for the most frequent tasks of survival analysis, with a focus on the needs of clinical oncology. The syntax follows the tidyverse philosophy and is made to be used in a pipeline.

Installation

Install from CRAN:

install.packages("survivalAnalysis")

Or install the latest git version from bitbucket:

devtools::install_bitbucket("mwiesweg/survivalAnalysis")

Components

The following areas are covered:

• Univariate analysis
  • Descriptive statistics
  • Log-rank test
  • Pair-wise comparisons
• Multivariate analysis / Cox regression
• Kaplan-Meier plots based on survminer
  • Ready-to-use plot by passing the univariate analysis result
  • High-level support for grids of KM plots
• Forest plots based on ggplot2
  • Easy creation by passing the multivariate analysis result, or multiple univariate analysis results
  • Highly customizable

Getting Started

This package comes with two vignettes, which guide you through all core functionality and are recommended to get started.

survivalAnalysis documentation built on Feb. 11, 2022, 5:07 p.m.