Data from: A penalized likelihood framework for high- dimensional phylogenetic comparative methods and an application to new-world monkeys

负责人：

关键词：

approximate LOOCV;large p small n;Generalized Information Criteria;phylogenetic signal;LASSO;Shrinkage;new world monkeys;Phylogenetic PCA;Evolutionary covariances;Regularization;Ridge;brain shape

DOI：

doi:10.5061/dryad.rf7317t

摘要：

) and Pagel’s lambda models. We show using simulations that our penalized likelihood approach dramatically improves the estimation of evolutionary trait