Coxnet: Regularized Cox Model

Cox model regularized with net (L1 and Laplacian), elastic-net (L1 and L2) or lasso (L1) penalty, and their adaptive forms, such as adaptive lasso and net adjusting for signs of linked coefficients. Moreover, it treats the number of non-zero coefficients as another tuning parameter and simultaneously selects with the regularization parameter \code{lambda}. In addition, it fits a varying coefficient Cox model by kernel smoothing, incorporated with the aforementioned penalties. The package uses one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients.

Version: 0.2
Depends: Matrix (≥ 1.1-5)
Imports: Rcpp (≥ 0.11.5)
LinkingTo: Rcpp, RcppEigen
Published: 2015-12-10
Author: Xiang Li, Donglin Zeng and Yuanjia Wang
Maintainer: Xiang Li <xl2473 at columbia.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Survival
CRAN checks: Coxnet results

Downloads:

Reference manual: Coxnet.pdf
Package source: Coxnet_0.2.tar.gz
Windows binaries: r-devel: Coxnet_0.2.zip, r-release: Coxnet_0.2.zip, r-oldrel: Coxnet_0.2.zip
OS X Mavericks binaries: r-release: Coxnet_0.2.tgz, r-oldrel: Coxnet_0.2.tgz
Old sources: Coxnet archive

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