High-Performance Open-Source Archive
Building patient level networks for prediction of medical outcomes and draw the cluster of network. This package is based on paper Personalized disease networks for understanding and predicting cardiovascular diseases and other complex processes (See Cabrera et al. <http://circ.ahajournals.org/content/134/Suppl_1/A14957>).
| Version: | 0.1.0 |
| Depends: | R (≥ 2.3.0) |
| Imports: | survival, glmnet, ggplot2, network |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-11-03 |
| DOI: | 10.32614/CRAN.package.PDN |
| Author: | Javier Cabrera, Fei Wang |
| Maintainer: | Zhenbang Wang <bruce1edward at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | PDN results |
| Reference manual: | PDN.html , PDN.pdf |
| Vignettes: |
Introduction to Package PDN (source, R code) |
| Package source: | PDN_0.1.0.tar.gz |
| Windows binaries: | r-devel: PDN_0.1.0.zip, r-release: PDN_0.1.0.zip, r-oldrel: PDN_0.1.0.zip |
| macOS binaries: | r-release (arm64): PDN_0.1.0.tgz, r-oldrel (arm64): PDN_0.1.0.tgz, r-release (x86_64): PDN_0.1.0.tgz, r-oldrel (x86_64): PDN_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=PDN to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.