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glmtrans  

Transfer Learning under Regularized Generalized Linear Models
View on CRAN: Click here


Download and install glmtrans package within the R console
Install from CRAN:
install.packages("glmtrans")

Install from Github:
library("remotes")
install_github("cran/glmtrans")

Install by package version:
library("remotes")
install_version("glmtrans", "2.0.0")



Attach the package and use:
library("glmtrans")
Maintained by
Ye Tian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-28
Latest Update: 2022-02-08
Description:
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: .
How to cite:
Ye Tian (2021). glmtrans: Transfer Learning under Regularized Generalized Linear Models. R package version 2.0.0, https://cran.r-project.org/web/packages/glmtrans. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2021-04-28 09:50)
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Complete documentation for glmtrans
Functions, R codes and Examples using the glmtrans R package
Some associated functions: glmtrans . glmtrans_inf . models . plot.glmtrans . predict.glmtrans . print.glmtrans . source_detection . 
Some associated R codes: funcs.R . glmtrans.R . glmtrans_inf.R . loss.R . models.R . plot.glmtrans.R . predict.glmtrans.R . print.glmtrans.R . source_detection.R .  Full glmtrans package functions and examples
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