compound.Cox: Univariate Feature Selection and Compound Covariate for
Predicting Survival
Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions).
Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <doi:10.1056/NEJMoa060096>,
statistical methods in Emura et al (2012 PLoS ONE) <doi:10.1371/journal.pone.0047627>,
Emura & Chen (2016 Stat Methods Med Res) <doi:10.1177/0962280214533378>, and Emura et al. (2019)<doi:10.1016/j.cmpb.2018.10.020>.
Algorithms for generating correlated gene expressions are also available.
| Version: |
3.21 |
| Depends: |
numDeriv, survival |
| Published: |
2022-08-08 |
| Author: |
Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen |
| Maintainer: |
Takeshi Emura <takeshiemura at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| In views: |
Survival |
| CRAN checks: |
compound.Cox results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=compound.Cox
to link to this page.