aml: Adaptive Mixed LASSO
Version 0.1-1

This package implements the adaptive mixed lasso (AML) method proposed by Wang et al.(2011). AML applies adaptive lasso penalty to a large number of predictors, thus producing a sparse model, while accounting for the population structure in the linear mixed model framework. The package here is primarily designed for application to genome wide association studies or genomic prediction in plant breeding populations, though it could be applied to other settings of linear mixed models.

Getting started

Package details

AuthorDong Wang
Date of publication2013-11-28 08:14:36
MaintainerDong Wang <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the aml package in your browser

Any scripts or data that you put into this service are public.

aml documentation built on May 30, 2017, 12:31 a.m.