biospear: Biomarker Selection in Penalized Regression Models

Provides a useful R tool for developing and validating prediction models, estimate expected survival of patients and visualize them graphically. Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others. A function generating simulated survival data set is also provided.

Version: 1.0.0
Depends: R (≥ 2.10), pkgconfig
Imports: cobs, corpcor, devtools, glmnet, graphics, grplasso, MASS, Matrix, mboost, parallel, plsRcox, pROC, PRROC, RCurl, stats, survAUC, survival
Published: 2017-05-13
Author: Nils Ternes [aut, cre], Federico Rotolo [aut], Stefan Michiels [ctr]
Maintainer: Nils Ternes <nils.ternes at>
License: GPL-2
NeedsCompilation: no
CRAN checks: biospear results


Reference manual: biospear.pdf
Package source: biospear_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: biospear_1.0.0.tgz


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