deriv_control-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

deriv_control-class function

<dl>
<dt><code>.FUN</code></dt>
<dd>a function which computes a numerical derivation. This functions
first argument must the function on which the derivative is being compute.
Defaults to <code><a href="/link/jacobian?package=geex&version=1.1.1" data-mini-rdoc="geex::jacobian">jacobian</a></code>.</dd></dl>
<dt><code>.options</code></dt>
<dd>a list of options passed to <code>.FUN</code>. Defaults to
<code>list(method = 'Richardson')</code></dd>

Slots

deriv_control S4 class — deriv_control-class

<dl>
<dt><code>.FUN</code></dt>
<dd>a function which computes a numerical derivation. This functions
first argument must the function on which the derivative is being compute.
Defaults to <code><a href='https://rdrr.io/pkg/numDeriv/man/jacobian.html'>jacobian</a></code>.</dd>


<dt><code>.options</code></dt>
<dd>a list of options passed to <code>.FUN</code>. Defaults to
<code>list(method = 'Richardson')</code></dd>


</dl>

deriv_control-class: deriv_control S4 class

Description

Arguments

Slots