summary.cp_model_nls

Summarize a Cross-Price Demand Model (Nonlinear)

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

summary.cp_model_nls function

<dl><dt>object</dt>
<dd>A cross-price model object from fit_cp_nls with return_all=TRUE.</dd>
<dt>inv_fun</dt>
<dd>Optional function to inverse-transform predictions (e.g., ll4_inv).
Default is <code>identity</code>.</dd>
<dt>inverse_fun</dt>
<dd><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=beezdemand&version=0.2.0" alt="[Deprecated]"></a> Use <code>inv_fun</code> instead.</dd>
<dt>...</dt>
<dd>Additional arguments (unused).</dd></dl>

Arguments

Summarize a Cross-Price Demand Model (Nonlinear) — summary.cp_model_nls

<dl>

<dt>object</dt>
<dd>A cross-price model object from fit_cp_nls with return_all=TRUE.</dd>


<dt>inv_fun</dt>
<dd>Optional function to inverse-transform predictions (e.g., ll4_inv).
Default is <code>identity</code>.</dd>


<dt>inverse_fun</dt>
<dd><a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a> Use <code>inv_fun</code> instead.</dd>


<dt>...</dt>
<dd>Additional arguments (unused).</dd>

</dl>

summary.cp_model_nls: Summarize a Cross-Price Demand Model (Nonlinear)

Description

Usage

Value

Arguments