estimating_function-class

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

estimating_function-class function

<dl>
<dt><code>.estFUN</code></dt>
<dd>the estimating function.</dd></dl>
<dt><code>.outer_args</code></dt>
<dd>a named <code>list</code> of arguments passed to the outer
function of <code>.estFUN</code>. Should *not* include the <code>data</code> argument.</dd>
<dt><code>.inner_args</code></dt>
<dd>a named <code>list</code> of arguments passed to the inner
function of <code>.estFUN</code>. Should *not* include the <code>theta</code> argument.</dd>

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estimating_function S4 class — estimating_function-class

<dl>
<dt><code>.estFUN</code></dt>
<dd>the estimating function.</dd>


<dt><code>.outer_args</code></dt>
<dd>a named <code>list</code> of arguments passed to the outer
function of <code>.estFUN</code>. Should *not* include the <code>data</code> argument.</dd>


<dt><code>.inner_args</code></dt>
<dd>a named <code>list</code> of arguments passed to the inner
function of <code>.estFUN</code>. Should *not* include the <code>theta</code> argument.</dd>


</dl>

estimating_function-class: estimating_function S4 class

Description

Arguments

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