In ShixiangWang/ezcox: Easily Process a Batch of Cox Models

knitr::opts_chunk$set(
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ezcox: Easily Process a Batch of Cox Models

The goal of ezcox is to operate a batch of univariate or multivariate Cox models and return tidy result.

:arrow_double_down: Installation

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

install.packages("ezcox")

And the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("ShixiangWang/ezcox")

It is possible to install ezcox from Conda conda-forge channel:

conda install r-ezcox --channel conda-forge

Visualization feature of ezcox needs the recent version of forestmodel, please run the following commands:

remotes::install_github("ShixiangWang/forestmodel")

:beginner: Example

This is a basic example which shows you how to get result from a batch of cox models.

library(ezcox)
library(survival)

# Build unvariable models
ezcox(lung, covariates = c("age", "sex", "ph.ecog"))

# Build multi-variable models
# Control variable 'age'
ezcox(lung, covariates = c("sex", "ph.ecog"), controls = "age")

lung$ph.ecog = factor(lung$ph.ecog)
zz = ezcox(lung, covariates = c("sex", "ph.ecog"), controls = "age", return_models=TRUE)
mds = get_models(zz)
str(mds, max.level = 1)

show_models(mds)

:star2: Vignettes

• ezcox: Easily Process a Batch of Cox Models
• ezcox: Easily Show Cox Forestplot in One Command
• ezcox: Easy Group Cox Analysis and Visualization
• ezcox: an R Package for Cox Model Batch Processing and Visualization - An Use Case

:page_with_curl: Citation

If you are using it in academic research, please cite the preprint arXiv:2110.14232 along with URL of this repo.

ShixiangWang/ezcox documentation built on Jan. 26, 2024, 4:12 p.m.