aml: Adaptive Mixed LASSO

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.

Version: 0.1-1
Depends: R (≥ 2.10), lars
Suggests: MASS
Published: 2013-11-28
Author: Dong Wang
Maintainer: Dong Wang <dwangstat at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: aml results


Reference manual: aml.pdf
Package source: aml_0.1-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: aml_0.1-1.tgz, r-oldrel: aml_0.1-1.tgz
OS X Mavericks binaries: r-release: aml_0.1-1.tgz