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.