m_estimation_basis-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

m_estimation_basis-class function

<dl>
<dt><code>.data</code></dt>
<dd>the analysis data.frame</dd></dl>
<dt><code>.units</code></dt>
<dd>an (optional) character string identifying the variable in
<code>.data</code> which splits the data into indepedent units</dd>
<dt><code>.weights</code></dt>
<dd>a numeric vector of weights used in weighting the estimating
functions</dd>
<dt><code>.psiFUN_list</code></dt>
<dd>a list of <code>psiFUN</code>s created by <code>create_psiFUN_list</code></dd>
<dt><code>.GFUN</code></dt>
<dd>a function created by <code>create_GFUN</code></dd>
<dt><code>.control</code></dt>
<dd>a <code>geex_control</code> object</dd>

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m_estimation_basis S4 class — m_estimation_basis-class

<dl>
<dt><code>.data</code></dt>
<dd>the analysis data.frame</dd>


<dt><code>.units</code></dt>
<dd>an (optional) character string identifying the variable in
<code>.data</code> which splits the data into indepedent units</dd>


<dt><code>.weights</code></dt>
<dd>a numeric vector of weights used in weighting the estimating
functions</dd>


<dt><code>.psiFUN_list</code></dt>
<dd>a list of <code>psiFUN</code>s created by <code>create_psiFUN_list</code></dd>


<dt><code>.GFUN</code></dt>
<dd>a function created by <code>create_GFUN</code></dd>


<dt><code>.control</code></dt>
<dd>a <code>geex_control</code> object</dd>


</dl>

m_estimation_basis-class: m_estimation_basis S4 class

Description

Arguments

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