R: Transfer Learning under Regularized Generalized Linear Models

# Transfer Learning under Regularized Generalized Linear Models

## Documentation for package ‘glmtrans’ version 2.1.0

- 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.