Transfer Learning under Regularized Generalized Linear Models

---

Documentation for package ‘glmtrans’ version 2.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

glmtrans	Fit a transfer learning generalized linear model (GLM) with elasticnet regularization.
glmtrans_inf	Calculate asymptotic confidence intervals based on desparsified Lasso and two-step transfer learning method.
models	Generate data from Gaussian, logistic and Poisson models.
plot.glmtrans	Visualize the losses of different sources and the threshold to determine transferability.
plot.glmtrans_source_detection	Visualize the losses of different sources and the threshold to determine transferability.
predict.glmtrans	Predict for new data from a "glmtrans" object.
print.glmtrans	Print a fitted "glmtrans" object.
source_detection	Transferable source detection for GLM transfer learning algorithm.