Package: PUlasso 3.2.4

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

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) <arxiv:1711.08129>.

Authors:Hyebin Song [aut, cre], Garvesh Raskutti [aut]

PUlasso_3.2.4.tar.gz
PUlasso_3.2.4.zip(r-4.5)PUlasso_3.2.4.zip(r-4.4)PUlasso_3.2.4.zip(r-4.3)
PUlasso_3.2.4.tgz(r-4.5-x86_64)PUlasso_3.2.4.tgz(r-4.5-arm64)PUlasso_3.2.4.tgz(r-4.4-x86_64)PUlasso_3.2.4.tgz(r-4.4-arm64)PUlasso_3.2.4.tgz(r-4.3-x86_64)PUlasso_3.2.4.tgz(r-4.3-arm64)
PUlasso_3.2.4.tar.gz(r-4.5-noble)PUlasso_3.2.4.tar.gz(r-4.4-noble)
PUlasso_3.2.4.tgz(r-4.4-emscripten)PUlasso_3.2.4.tgz(r-4.3-emscripten)
PUlasso.pdf |PUlasso.html
PUlasso/json (API)

# Install 'PUlasso' in R:
install.packages('PUlasso', repos = c('https://hsong1.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hsong1/pulasso/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

cpp

4.76 score 6 stars 19 scripts 281 downloads 3 exports 34 dependencies

Last updated 4 years agofrom:6cc6411c14. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-win-x86_64NOTEJan 27 2025
R-4.5-mac-x86_64NOTEJan 27 2025
R-4.5-mac-aarch64NOTEJan 27 2025
R-4.5-linux-x86_64NOTEJan 27 2025
R-4.4-win-x86_64NOTEJan 27 2025
R-4.4-mac-x86_64NOTEJan 27 2025
R-4.4-mac-aarch64NOTEJan 27 2025
R-4.3-win-x86_64NOTEJan 27 2025
R-4.3-mac-x86_64NOTEJan 27 2025
R-4.3-mac-aarch64NOTEJan 27 2025

Exports:cv.grpPUlassodeviancesgrpPUlasso

Dependencies:clicodetoolscolorspacedoParallelfansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr

PUlasso: High-dimensional variable selection with presence-only data

Rendered fromPUlasso-vignette.Rmdusingknitr::rmarkdownon Jan 27 2025.

Last update: 2021-01-15
Started: 2017-11-28