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 [aut, cre] |
| Maintainer: | Dong Wang <dwangstat at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.r-project.org |
| NeedsCompilation: | no |
| CRAN checks: | aml results |
| Reference manual: | aml.pdf |
| Package source: | aml_0.1-1.tar.gz |
| Windows binaries: | r-devel: aml_0.1-1.zip, r-release: aml_0.1-1.zip, r-oldrel: aml_0.1-1.zip |
| macOS binaries: | r-release: aml_0.1-1.tgz, r-oldrel: aml_0.1-1.tgz |
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