hdnom
Benchmarking and Visualization Toolkit for Penalized Cox Models
Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
hdnom 
hdnom creates nomogram visualizations for penalized Cox regression
models, with the support of reproducible survival model building,
validation, calibration, and comparison for high-dimensional data.
Installation
You can install hdnom from CRAN:
install.packages("hdnom")
Or try the development version on GitHub:
remotes::install_github("nanxstats/hdnom")
Browse the vignettes to get started.
Gallery
Nomogram
Kaplan-Meier plot with number at risk table
Model validation and calibration
Model comparison by validation or calibration
Shiny app
- Shiny app: https://github.com/nanxstats/hdnom-app
- Shiny app maker: https://github.com/nanxstats/hdnom-appmaker
Contribute
To contribute to this project, please take a look at the Contributing Guidelines first. Please note that the hdnom project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.