cp_posthoc_slopes

This function performs pairwise comparisons of slopes between groups in a
cross-price demand model, but only when a significant interaction is present.
The emmeans table showing estimated marginal means for slopes is always returned.

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

cp_posthoc_slopes function

<dl><dt>object</dt>
<dd>A cp_model_lmer object from fit_cp_linear</dd>
<dt>alpha</dt>
<dd>Significance level for testing (default: 0.05)</dd>
<dt>adjust</dt>
<dd>Method for p-value adjustment; see emmeans::contrast (default: "tukey")</dd>
<dt>...</dt>
<dd>Additional arguments passed to emmeans</dd></dl>

Arguments

Run pairwise slope comparisons for cross-price demand model — cp_posthoc_slopes

<dl>

<dt>object</dt>
<dd>A cp_model_lmer object from fit_cp_linear</dd>


<dt>alpha</dt>
<dd>Significance level for testing (default: 0.05)</dd>


<dt>adjust</dt>
<dd>Method for p-value adjustment; see emmeans::contrast (default: "tukey")</dd>


<dt>...</dt>
<dd>Additional arguments passed to emmeans</dd>

</dl>

cp_posthoc_slopes: Run pairwise slope comparisons for cross-price demand model

Description

Usage

Value

Arguments

Examples