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ggrisk
View on CRAN: Click
here
Download and install ggrisk package within the R console
Install from CRAN:
install.packages("ggrisk")
Install from Github:
library("remotes")
install_github("cran/ggrisk") Install by package version:
library("remotes")
install_version("ggrisk", "1.3") Attach the package and use:
library("ggrisk")
Maintained by
Jing Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-09
Latest Update: 2021-08-09
Description:
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.
How to cite:
Jing Zhang (2020). ggrisk: Risk Score Plot for Cox Regression. R package version 1.3, https://cran.r-project.org/web/packages/ggrisk. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Complete documentation for ggrisk
Functions, R codes and Examples using
the ggrisk R package
Some associated functions: LIRI . ggrisk . two_scatter .
Some associated R codes: LIRI.R . ggrisk.R . model.xy.R . reshape_toLong.R . to.cph.R . two_scatter.R . zzz.R . Full ggrisk package functions and examples
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