Efficient algorithm for solving PU (Positive and Unlabelled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing via 'OpenMP' are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2017)
|Author||Hyebin Song [aut, cre], Garvesh Raskutti [aut]|
|Date of publication||2018-01-03 13:49:07 UTC|
|Maintainer||Hyebin Song <[email protected]>|
|Package repository||View on CRAN|
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