predict_LM_GAGA

Get predictions from a GAGA linear model fit object

Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm.
For more detailed information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arXiv:1911.00658>.
This paper provides the theoretical properties of Gaga linear model when the load matrix is orthogonal.
Further study is going on for the nonorthogonal cases and generalized linear models.
These works are in part supported by the National Natural Foundation of China (No.12171076).

Bin Wang

GAGAs

Global Adaptive Generative Adjustment Algorithm for Generalized
Linear Models

Xiaofei Wang

Jianhua Guo

predict_LM_GAGA function

<dl><dt>fit</dt>
<dd>Fitted "GAGA" object.</dd>
<dt>newx</dt>
<dd>Matrix of new values for x at which predictions are to be made. Must be a
matrix. If the intercept term needs to be considered in the estimation process, then
the first column of <code>X</code> must be all 1s.</dd></dl>

Arguments

Get predictions from a GAGA linear model fit object — predict_LM_GAGA

<dl>

<dt>fit</dt>
<dd>Fitted "GAGA" object.</dd>


<dt>newx</dt>
<dd>Matrix of new values for x at which predictions are to be made. Must be a
matrix. If the intercept term needs to be considered in the estimation process, then
the first column of <code>X</code> must be all 1s.</dd>

</dl>

predict_LM_GAGA: Get predictions from a GAGA linear model fit object

Description

Usage

Value

Arguments