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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.

Type Size Name Uploaded Downloads Labels
conda 420.9 kB | noarch/r-aml-0.1_1-r42h142f84f_0.tar.bz2  2 years and 8 months ago 63 main
conda 421.3 kB | noarch/r-aml-0.1_1-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 223 main

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