print.glmtrans

Similar to the usual print methods, this function summarizes results from a fitted <code>"glmtrans"</code> object.

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 details of methods can be found in "Tian, Y., & Feng, Y. (2023). Transfer learning under high-dimensional generalized linear models. Journal of the American Statistical Association, 118(544), 2684-2697.".

Ye Tian

glmtrans

Transfer Learning under Regularized Generalized Linear Models

Yang Feng

print.glmtrans function

<dl><dt>x</dt>
<dd>fitted <code>"glmtrans"</code> model object.</dd>
<dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Print a fitted "glmtrans" object. — print.glmtrans

<dl>

<dt>x</dt>
<dd>fitted <code>"glmtrans"</code> model object.</dd>


<dt>...</dt>
<dd>additional arguments.</dd>

</dl>

print.glmtrans: Print a fitted "glmtrans" object.

Description

Usage

Value

Arguments

See Also

Examples