PUlasso: High-Dimensional Variable Selection with Presence-Only Data
Version 3.1.1

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 are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2017) .

Package details

AuthorHyebin Song [aut, cre], Garvesh Raskutti [aut]
Date of publication2018-05-15 05:46:27 UTC
MaintainerHyebin Song <[email protected]>
URL https://arxiv.org/abs/1711.08129
Package repositoryView on CRAN
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PUlasso documentation built on May 15, 2018, 9:03 a.m.