geex_control-class

An object which control all the <code>basic_control</code> objects
necessary to perform M-estimation

Provides a general, flexible framework for estimating parameters
and empirical sandwich variance estimator from a set of unbiased estimating
equations (i.e., M-estimation in the vein of Stefanski & Boos (2002)
<doi:10.1198/000313002753631330>). All examples from Stefanski & Boos (2002)
are published in the corresponding Journal of Statistical Software paper
"The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020)
<doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample
variance corrections.

Bradley Saul

geex

An API for M-Estimation

Brian Barkley

geex_control-class function

<dl>
<dt><code>.approx</code></dt>
<dd>an <code>approx_control</code> object</dd></dl>
<dt><code>.root</code></dt>
<dd>a <code>root_control</code> object</dd>
<dt><code>.deriv</code></dt>
<dd>a <code>deriv_control</code> object</dd>

Slots

geex_control S4 class — geex_control-class

<dl>
<dt><code>.approx</code></dt>
<dd>an <code>approx_control</code> object</dd>


<dt><code>.root</code></dt>
<dd>a <code>root_control</code> object</dd>


<dt><code>.deriv</code></dt>
<dd>a <code>deriv_control</code> object</dd>


</dl>

geex_control-class: geex_control S4 class

Description

Arguments

Slots