ggrisk: Risk Score Plot for Cox Regression

The risk plot may be one of the most commonly used figures in tumor genetic data analysis. We can conclude the following two points: Comparing the prediction results of the model with the real survival situation to see whether the survival rate of the high-risk group is lower than that of the low-level group, and whether the survival time of the high-risk group is shorter than that of the low-risk group. The other is to compare the heat map and scatter plot to see the correlation between the predictors and the outcome.

Getting started

Package details

AuthorJing Zhang [aut, cre], Zhi Jin [aut]
MaintainerJing Zhang <zj391120@163.com>
LicenseGPL-2
Version1.3
URL https://github.com/yikeshu0611/ggrisk
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ggrisk")

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ggrisk documentation built on Aug. 9, 2021, 9:12 a.m.