hdnom logo

Build Status AppVeyor Build Status CRAN Version Downloads from the RStudio CRAN mirror

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.

Paper Citation

Formatted citation for the preprint:

Nan Xiao, Qing-Song Xu, and Miao-Zhu Li. “hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data.” bioRxiv (2016): 065524; doi: https://dx.doi.org/10.1101/065524

BibTeX entry:

@article {hdnompreprint2016,
  author = {Xiao, Nan and Xu, Qing-Song and Li, Miao-Zhu},
  title = {hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data},
  year = {2016},
  doi = {10.1101/065524},
  publisher = {Cold Spring Harbor Labs Journals},
  URL = {https://www.biorxiv.org/content/early/2016/08/23/065524},
  eprint = {https://www.biorxiv.org/content/biorxiv/early/2016/08/23/065524.full.pdf},
  journal = {bioRxiv}
}

Installation

To download and install hdnom from CRAN:

install.packages("hdnom")

Or try the development version on GitHub:

# install.packages("devtools")
devtools::install_github("road2stat/hdnom")

Browse the vignettes to start.

Nomogram Visualization / Kaplan-Meier Plot with Number at Risk Table

hdnom-nomogram-kmplot

Model Validation / Model Calibration

hdnom-validation-calibration

Model Comparison via Validation / Calibration

hdnom-compare

Contribute

To contribute to this project, please take a look at the Contributing Guidelines first. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.