GetAnalyticPmaxFallback

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

GetAnalyticPmaxFallback function

<dl><dt>K_</dt>
<dd>k parameter</dd>
<dt>A_</dt>
<dd>alpha parameter</dd>
<dt>Q0_</dt>
<dd>q0 parameter</dd></dl>

Arguments

Shawn Gilroy <a href="/link/sgilroy1%40lsu.edu?package=beezdemand&version=0.2.0" data-mini-rdoc="beezdemand::sgilroy1@lsu.edu">sgilroy1@lsu.edu</a>

Author

Analytic Pmax Fallback — GetAnalyticPmaxFallback

<dl>

<dt>K_</dt>
<dd>k parameter</dd>


<dt>A_</dt>
<dd>alpha parameter</dd>


<dt>Q0_</dt>
<dd>q0 parameter</dd>

</dl>

Shawn Gilroy <a href='mailto:sgilroy1@lsu.edu'>sgilroy1@lsu.edu</a>

GetAnalyticPmaxFallback: Analytic Pmax Fallback

Description

Usage

Value

Arguments

Author

Details

Examples