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PUlasso

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.

Also available on CRAN: https://cran.r-project.org/web/packages/PUlasso/index.html

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Version

Install

install.packages('PUlasso')

Monthly Downloads

346

Version

3.2.5

License

GPL-2

Maintainer

Hyebin Song

Last Published

December 18th, 2023

Functions in PUlasso (3.2.5)

PUlasso-package

PUlasso : An efficient algorithm to solve Positive and Unlabeled(PU) problem with lasso or group lasso penalty
deviances

Deviance
grpPUlasso

Solve PU problem with lasso or group lasso penalty.
cv.grpPUlasso

Cross-validation for PUlasso
simulPU

simulated PU data