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PUlasso

High-Dimensional Variable Selection with Presence-Only Data

v3.2.6 · Feb 13, 2026 · GPL-2

Description

Efficient algorithm for solving PU (Positive and Unlabeled) 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 (2018) <doi:10.48550/arXiv.1711.08129>.

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2 NOTE
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r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (2 non-OK)
NOTE r-oldrel-macos-arm64

installed package size

installed size is 40.7Mb
  sub-directories of 1Mb or more:
    libs  40.2Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 41.9Mb
  sub-directories of 1Mb or more:
    libs  41.4Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 40.7Mb
  sub-directories of 1Mb or more:
    libs  40.2Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 41.9Mb
  sub-directories of 1Mb or more:
    libs  41.4Mb

Dependency Network

Dependencies Reverse dependencies Rcpp Matrix doParallel foreach ggplot2 PUlasso

Version History

new 3.2.6 Mar 10, 2026
updated 3.2.6 ← 3.2.5 diff Feb 12, 2026
updated 3.2.5 ← 3.2.4 diff Dec 17, 2023
updated 3.2.4 ← 3.2.3 diff Jan 16, 2021
updated 3.2.3 ← 3.2.2 diff Apr 27, 2019
updated 3.2.2 ← 3.1.1 diff Feb 27, 2019
updated 3.1.1 ← 3.1 diff May 14, 2018
updated 3.1 ← 2.2 diff Apr 6, 2018
updated 2.2 ← 2.1 diff Feb 13, 2018
updated 2.1 ← 1.2 diff Jan 2, 2018
new 1.2 Dec 12, 2017