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: 1.3
Depends: R (≥ 2.10)
Imports: ggplot2, survival, egg, do, set, cutoff, grid, rms, nomogramFormula, reshape2
Published: 2021-08-09
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

Documentation:

Reference manual: ggrisk.pdf

Downloads:

Package source: ggrisk_1.3.tar.gz
Windows binaries: r-devel: ggrisk_1.3.zip, r-release: ggrisk_1.3.zip, r-oldrel: ggrisk_1.3.zip
macOS binaries: r-release (arm64): ggrisk_1.3.tgz, r-release (x86_64): ggrisk_1.3.tgz, r-oldrel: ggrisk_1.3.tgz
Old sources: ggrisk archive

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