The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.