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A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: <doi:10.1007/s11222-014-9498-5>.

Type Size Name Uploaded Downloads Labels
conda 257.9 kB | win-64/r-gglasso-1.4-r36h17ddedb_0.tar.bz2  5 years and 1 month ago 0 main
conda 250.5 kB | osx-64/r-gglasso-1.4-r36hfffe0aa_0.tar.bz2  5 years and 1 month ago 0 main
conda 245.9 kB | linux-64/r-gglasso-1.4-r36ha65eedd_0.tar.bz2  5 years and 1 month ago 0 main

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