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.

Version: 1.2
Depends: R (≥ 2.10)
Imports: ggplot2, survival, egg, do, set, cutoff, fastStat, grid, rms, nomogramFormula
Published: 2020-08-10
Author: Jing Zhang [aut, cre], Zhi Jin [aut]
Maintainer: Jing Zhang <zj391120 at 163.com>
BugReports: https://github.com/yikeshu0611/ggrisk/issues
License: GPL-2
URL: https://github.com/yikeshu0611/ggrisk
NeedsCompilation: no
CRAN checks: ggrisk results

Downloads:

Reference manual: ggrisk.pdf
Package source: ggrisk_1.2.tar.gz
Windows binaries: r-devel: ggrisk_1.2.zip, r-release: ggrisk_1.2.zip, r-oldrel: ggrisk_1.0.zip
macOS binaries: r-release: ggrisk_1.2.tgz, r-oldrel: ggrisk_1.2.tgz
Old sources: ggrisk archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggrisk to link to this page.