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-4.4-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:

simulPU - Simulated PU data

On CRAN:

4.76 score 6 stars 19 scripts 246 downloads 3 exports 34 dependencies

Last updated 4 years agofrom:6cc6411c14. Checks:OK: 1 NOTE: 7 ERROR: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 29 2024
R-4.5-win-x86_64	ERROR	Oct 29 2024
R-4.5-linux-x86_64	NOTE	Oct 29 2024
R-4.4-win-x86_64	NOTE	Oct 29 2024
R-4.4-mac-x86_64	NOTE	Oct 29 2024
R-4.4-mac-aarch64	NOTE	Oct 29 2024
R-4.3-win-x86_64	NOTE	Oct 29 2024
R-4.3-mac-x86_64	NOTE	Oct 29 2024
R-4.3-mac-aarch64	NOTE	Oct 29 2024

Exports:cv.grpPUlasso deviances grpPUlasso

Dependencies:cli codetools colorspace doParallel fansi farver foreach ggplot2 glue gtable isoband iterators labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer Rcpp RcppEigen rlang scales tibble utf8 vctrs viridisLite withr

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

Hyebin Song

Rendered fromPUlasso-vignette.Rmdusingknitr::rmarkdownon Oct 29 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
PUlasso : An efficient algorithm to solve Positive and Unlabeled(PU) problem with lasso or group lasso penalty	PUlasso-package PUlasso
Cross-validation for PUlasso	cv.grpPUlasso
Deviance	deviances
Solve PU problem with lasso or group lasso penalty.	grpPUlasso
simulated PU data	simulPU