approx_control-class

EXPERIMENTAL. See example 7 in <code>vignette("01_additional_examples", package = "geex")</code>
for usage.

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

approx_control-class function

<dl>
<dt><code>.FUN</code></dt>
<dd>a function which approximates an <code>estFUN</code>.</dd></dl>
<dt><code>.options</code></dt>
<dd>a list of options passed to <code>.FUN</code>.</dd>

Slots

approx_control S4 class — approx_control-class

<dl>
<dt><code>.FUN</code></dt>
<dd>a function which approximates an <code>estFUN</code>.</dd>


<dt><code>.options</code></dt>
<dd>a list of options passed to <code>.FUN</code>.</dd>


</dl>

approx_control-class: approx_control S4 class

Description

Arguments

Slots