In nabipoor/wcep: Survival Analysis for Weighted Composite Endpoints

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

wcep

The goal of wcep is to analyze time-to-event data with multiple events, for instance death and shock with related severity weights. The weight of death is always 1 and other events have a positive weight smaller than 1.

This package provides two main functions: wcep produce survival probabilities with related variances, and plot function uses survival probabilities to illustrate Kaplan Meier curve with prespecified confidence interval. Also, it provides a dataset.

Installation

You can install the released version of wcep from CRAN with:

install.packages("wcep")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("nabipoor/wcep")

Example

Basic examples provided in the Help document.

library(wcep)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)

You'll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

plot(pressure)

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub!

nabipoor/wcep documentation built on Oct. 29, 2020, 5:54 a.m.