Longitudinal genomics data and survival outcome are common in biomedical studies. It is of great interest to select genes related to the survival outcome. LCox is a computationally efficient tool for selecting genes related to the survival outcome using the longitudinal genomics data. LCox is powerful to detect different forms of dependence between the longitudinal biomarkers and the survival outcome.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.4.0), fdapace (≥ 0.3.0), survival (≥ 2.41-3) |
| Published: | 2017-07-17 |
| Author: | Jiehuan Sun [aut, cre], Jose D. Herazo-Maya [aut], Jane-Ling Wang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut] |
| Maintainer: | Jiehuan Sun <jiehuan.sun at yale.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | LCox results |
| Reference manual: | LCox.pdf |
| Package source: | LCox_0.1.0.tar.gz |
| Windows binaries: | r-devel: LCox_0.1.0.zip, r-release: LCox_0.1.0.zip, r-oldrel: LCox_0.1.0.zip |
| macOS binaries: | r-release: LCox_0.1.0.tgz, r-oldrel: LCox_0.1.0.tgz |
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