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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>.

copied from cf-staging / r-gglasso
Type Size Name Uploaded Downloads Labels
conda 360.9 kB | win-64/r-gglasso-1.5-r36h17ddedb_0.tar.bz2  4 years and 9 months ago 1021 main cf202003
conda 358.9 kB | win-64/r-gglasso-1.5-r35h17ddedb_0.tar.bz2  4 years and 9 months ago 1025 main cf202003
conda 342.2 kB | osx-64/r-gglasso-1.5-r35h384270c_0.tar.bz2  4 years and 9 months ago 318 main cf202003
conda 348.8 kB | osx-64/r-gglasso-1.5-r36h384270c_0.tar.bz2  4 years and 9 months ago 307 main cf202003
conda 379.0 kB | linux-64/r-gglasso-1.5-r35h9bbef5b_0.tar.bz2  4 years and 9 months ago 2993 main cf202003
conda 350.3 kB | linux-64/r-gglasso-1.5-r36h9bbef5b_0.tar.bz2  4 years and 9 months ago 2956 main cf202003

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