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grpregOverlap
fits the regularization paths of linear, logistic, Poisson,
or Cox models with overlapping grouped covariates based on the latent group lasso
approach (Jacob et al., 2009). Latent group MCP/SCAD as well as bi-level
selection methods, namely the group exponential lasso(Breheny, 2015) and the
composite MCP (Huang et al., 2012) are also available. This package serves as
an extension of R package grpreg
(by Dr. Patrick Breheny patrick-breheny@uiowa.edu)
for grouped variable selection involving overlaps between groups.
install.packages("grpregOverlap")
devtools::install_github("YaohuiZeng/grpregOverlap")
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