update_tau_R

<code>update_tau_R</code> updates the precision parameter tau

An implementation of a computational framework for performing robust structured regression with the L2 criterion
from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and
Lange (2022+) added in Version 2.0.

Jocelyn Chi

Robust Structured Regression via the L2 Criterion

Xiaoqian Liu

Lisa Lin

Kenneth Lange

Eric Chi

update_tau_R function

<dl><dt>r</dt>
<dd>Residual vector</dd>
<dt>tau</dt>
<dd>Current estimate for tau</dd>
<dt>sd_y</dt>
<dd>Standard deviation of y</dd>
<dt>max_iter</dt>
<dd>Maximum number of iterations</dd>
<dt>tol</dt>
<dd>Relative tolerance</dd></dl>

Arguments

Tau update function — update_tau_R

<dl>

<dt>r</dt>
<dd>Residual vector</dd>


<dt>tau</dt>
<dd>Current estimate for tau</dd>


<dt>sd_y</dt>
<dd>Standard deviation of y</dd>


<dt>max_iter</dt>
<dd>Maximum number of iterations</dd>


<dt>tol</dt>
<dd>Relative tolerance</dd>

</dl>

update_tau_R: Tau update function

Description

Usage

Value

Arguments