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aml (version 0.1-1)

Adaptive Mixed LASSO

Description

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.

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Version

Install

install.packages('aml')

Monthly Downloads

11

Version

0.1-1

License

GPL (>= 2)

Maintainer

Dong Wang

Last Published

November 28th, 2013

Functions in aml (0.1-1)

wheat

Genetic and Phenotype Data of a Wheat Breeding Population
aml.estimate

Estimate Genetic Values Using AML Fit
amltest

Adaptive Mixed LASSO Analysis
epigen

Generate Epistatic Effect Matrix
cleanclust

Clean, Impute, and Filter Markers
aml.pred.outside

Prediction With Adaptive Mixed LASSO