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biospear (version 1.0.1)

Biomarker Selection in Penalized Regression Models

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) ), the adaptive lasso (Zou H (2006) ), the stability selection (Meinshausen N et al. (2010) ), some extensions of the lasso (Ternes et al. (2016) ), some methods for the interaction setting (Ternes N et al. (2016) ), or others. A function generating simulated survival data set is also provided.

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Version

Install

install.packages('biospear')

Monthly Downloads

238

Version

1.0.1

License

GPL-2

Maintainer

Nils Ternes

Last Published

August 11th, 2017

Functions in biospear (1.0.1)

selRes

Evaluation of the selection accuracy of a prediction model
simdata

Generation of data sets with survival outcome
expSurv

Computation of expected survival based on a prediction model
predRes

Evaluation of the prediction accuracy of a prediction model
BMsel

Biomarker selection in a Cox regression model
Breast

Early breast cancer data