predict.cp_model_lm

Predict method for cp_model_lm objects.

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

predict.cp_model_lm function

<dl><dt>object</dt>
<dd>A cp_model_lm object.</dd>
<dt>newdata</dt>
<dd>Data frame containing new x values.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Predict method for cp_model_lm objects. — predict.cp_model_lm

<dl>

<dt>object</dt>
<dd>A cp_model_lm object.</dd>


<dt>newdata</dt>
<dd>Data frame containing new x values.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

predict.cp_model_lm: Predict method for cp_model_lm objects.

Description

Usage

Value

Arguments