Package: biospear
Type: Package
Title: Biomarker Selection in Penalized Regression Models
Version: 1.0.2
Author: Nils Ternes [aut],
  Federico Rotolo [aut], Stefan Michiels [aut, cre]
Maintainer: Stefan Michiels <stefan.michiels@gustaveroussy.fr>
Depends: R (>= 2.10), pkgconfig
Description: Provides some tools 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.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: cobs, corpcor, devtools, glmnet, graphics, grplasso, MASS,
        Matrix, mboost, parallel, plsRcox, pROC, PRROC, RCurl, stats,
        survAUC, survival
NeedsCompilation: no
Packaged: 2018-12-04 09:16:42 UTC; s_michiels
Repository: CRAN
Date/Publication: 2018-12-04 10:20:19 UTC
Built: R 4.4.3; ; 2025-12-08 06:04:25 UTC; windows
