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biospear  

Biomarker Selection in Penalized Regression Models
View on CRAN: Click here


Download and install biospear package within the R console
Install from CRAN:
install.packages("biospear")

Install from Github:
library("remotes")
install_github("cran/biospear")

Install by package version:
library("remotes")
install_version("biospear", "1.0.2")



Attach the package and use:
library("biospear")
Maintained by
Stefan Michiels
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-13
Latest Update: 2018-12-04
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.
How to cite:
Stefan Michiels (2017). biospear: Biomarker Selection in Penalized Regression Models. R package version 1.0.2, https://cran.r-project.org/web/packages/biospear
Previous versions and publish date:
1.0.0 (2017-05-13 14:55), 1.0.1 (2017-08-11 11:56)
Other packages that cited biospear R package
View biospear citation profile
Other R packages that biospear depends, imports, suggests or enhances
Functions, R codes and Examples using the biospear R package
Some associated functions: BMsel . Breast . expSurv . predRes . selRes . simdata . 
Some associated R codes: BMsel.R . PCAlasso.R . PLSlasso.R . alasso.R . colCheck.R . dataTrans.R . enet.R . expSurv.R . gboost.R . glasso.R . lGrid.R . lasso.R . modCov.R . penExt.R . poissonize.R . predRes.R . ridge.R . ridgelasso.R . selRes.R . simdata.R . simdataV.R . stabSel.R . uniFDR.R . unii.R .  Full biospear package functions and examples
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