In alberto-mateos-mo/survextras: Extra Functions for Survival Analysis

knitr::opts_chunk$set(
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survextras

The goal of survextras is to provide helper functions for survival analysis.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("alberto-mateos-mo/survextras")

The package contains 3 main functions:

• intro_surv()
• max_diff_time()
• parametric_diagnose()

Example

intro_surv() function will give you an introductory plot of your survival data:

library(survextras)
library(survival)

intro_surv(df = cancer, times = "time", event = "status", interactive = FALSE)

max_diff_time() function finds and plots maximun difference time fitted survival curves.

library(survextras)
library(survival)
library(survminer)

fit <- surv_fit(Surv(time, status)~sex, data = cancer)
max_diff_time(fit)

parametric_diagnose() function creates assesment plot to diagnose if KM estimator could potentially follow a known distribution.

library(survextras)
library(survival)
library(survminer)

kmfit <- surv_fit(Surv(time, status)~1, data = cancer)
parametric_diagnose(kmfit)

alberto-mateos-mo/survextras documentation built on Feb. 3, 2020, 12:03 a.m.