CRAN/E | glmtrans

glmtrans

Transfer Learning under Regularized Generalized Linear Models

Installation

About

We provide an efficient implementation for two-step multi-source transfer learning algorithms in high-dimensional generalized linear models (GLMs). The elastic-net penalized GLM with three popular families, including linear, logistic and Poisson regression models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is proposed. We also provides visualization for the transferable source detection results. The relevant paper is available on arXiv: .

Key Metrics

Version 2.0.0
R ≥ 3.5.0
Published 2022-02-08 806 days ago
Needs compilation? no
License GPL-2
CRAN checks glmtrans results

Downloads

Yesterday 10 0%
Last 7 days 34 -19%
Last 30 days 156 -9%
Last 90 days 628 -22%
Last 365 days 2.559 -22%

Maintainer

Maintainer

Ye Tian

ye.t@columbia.edu

Authors

Ye Tian

aut / cre

Yang Feng

aut

Material

Reference manual
Package source

Vignettes

glmtrans-demo

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glmtrans archive

Depends

R ≥ 3.5.0

Imports

glmnet
ggplot2
foreach
doParallel
caret
assertthat
formatR
stats

Suggests

knitr
rmarkdown