MPA-package: Lars algorithm

In MPAlars: lars algorithm

Description

This package contains an implementation of the lars algorithm [1], for the lasso and fusion penalization. It works even if the number of covariate is greater than the number of individuals.

It has been designed for Multi Patients Analysis (MPA) of Genomic Markers.

Its main purpose is the analysis of copy number signal but it can be used for other context.

Details

Package:	MPAlars
Type:	Package
Version:	1.0
Date:	2013-05-10
License:	GPL(>=2)

Author(s)

Maintainer: Quentin Grimonprez <[e-mail]>

References

[1] Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. 2004. Least angle regression. Annals of Statistics, vol. 32 ,p407-499.

Examples

 dataset=MPA.simul(50,10000,0.4,10,50,matrix(c(0.1,0.8,0.02,0.02),nrow=2)) # simulate a data set
 result=MPA.lars(dataset$data,dataset$response) #launch lars algorithm

MPAlars documentation built on May 2, 2019, 5:47 p.m.