.hurdle_extract_estimates

Internal function to extract coefficients, standard errors, and derived
quantities from a fitted TMB hurdle model.

internal

Facilitates many of the analyses performed in studies of
behavioral economic demand. The package supports commonly-used options for
modeling operant demand including (1) data screening proposed by Stein,
Koffarnus, Snider, Quisenberry, & Bickel (2015; <doi:10.1037/pha0000020>),
(2) fitting models of demand such as linear (Hursh, Raslear, Bauman,
& Black, 1989, <doi:10.1007/978-94-009-2470-3_22>), exponential (Hursh & Silberberg, 2008,
<doi:10.1037/0033-295X.115.1.186>) and modified exponential (Koffarnus,
Franck, Stein, & Bickel, 2015, <doi:10.1037/pha0000045>), and (3) calculating
numerous measures relevant to applied behavioral economists (Intensity,
Pmax, Omax). Also supports plotting and comparing data.

Brent Kaplan

beezdemand

Behavioral Economic Easy Demand

Shawn Gilroy

.hurdle_extract_estimates function

<dl><dt>opt</dt>
<dd>Optimization result from <code><a href="/link/nlminb()?package=beezdemand&version=0.2.0" data-mini-rdoc="beezdemand::nlminb()">nlminb()</a></code>.</dd>
<dt>obj</dt>
<dd>TMB objective function object.</dd>
<dt>sdr</dt>
<dd>TMB sdreport object (can be NULL).</dd>
<dt>param_names</dt>
<dd>List from <code>.hurdle_get_param_names()</code>.</dd>
<dt>n_subjects</dt>
<dd>Number of subjects.</dd>
<dt>n_re</dt>
<dd>Number of random effects.</dd></dl>

Arguments

Extract Results from TMB Hurdle Fit — .hurdle_extract_estimates

<dl>

<dt>opt</dt>
<dd>Optimization result from <code><a href='https://rdrr.io/r/stats/nlminb.html'>nlminb()</a></code>.</dd>


<dt>obj</dt>
<dd>TMB objective function object.</dd>


<dt>sdr</dt>
<dd>TMB sdreport object (can be NULL).</dd>


<dt>param_names</dt>
<dd>List from <code>.hurdle_get_param_names()</code>.</dd>


<dt>n_subjects</dt>
<dd>Number of subjects.</dd>


<dt>n_re</dt>
<dd>Number of random effects.</dd>

</dl>

.hurdle_extract_estimates: Extract Results from TMB Hurdle Fit

Description

Usage

Value

Arguments