In topycyao/Xsurv: A package used to model survival data from advanced machine learning algorithms

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  warning = FALSE,
  message = FALSE,
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Introduction

Xsurv is an R package used for interpretation of advanced machine learning methods for survival data.

Installation

Latest release on GitHub

install.packages('devtools') #Ignore this if devtools is already installed.
devtools::install_github('topycyao/Xsurv')

Quick start

**1) Load the package

library(Xsurv) #Load Xsurv into R

**2) Xsurv can help to generate survival data

sim_dat<-Xsurv_sim_data(size=500,dim=20,lambda=2,vu=1, 
                                    c_rate=0.3)   # A data set is generated with sample size =500

#Covariates and survival outcome should be separted before fitting to Xsurv models
sim_x<-sim_dat[,1:20] # The first 20 (equal to dimension of covariates) columns
sim_y<-sim_dat[,c(21,22)] # The last 2 columns

**3) Quick fit from data

fit<-Xsurv.cv(sim_x,sim_y,top_n=3)

topycyao/Xsurv documentation built on Aug. 6, 2022, 9:06 p.m.