setup_deriv_control

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

setup_deriv_control function

<dl><dt>FUN</dt>
<dd>a function</dd>
<dt>...</dt>
<dd>arguments passed to <code>FUN</code></dd></dl>

Arguments

Setup a deriv_control object — setup_deriv_control

<dl>

<dt>FUN</dt>
<dd>a function</dd>


<dt>...</dt>
<dd>arguments passed to <code>FUN</code></dd>

</dl>

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setup_deriv_control: Setup a deriv_control object

Description

Usage

Value

Arguments

Examples

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Description

Usage

Value

Arguments

Examples

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RADAR: AI Edition