.hurdle_normalize_starts

Internal function to handle backwards-compatibility and normalization of
user-provided starting values.

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_normalize_starts function

<dl><dt>start_values</dt>
<dd>User-provided named list of starting values.</dd>
<dt>n_re</dt>
<dd>Number of random effects (2 or 3).</dd>
<dt>has_k</dt>
<dd>Logical, whether the model has a k parameter.</dd></dl>

Arguments

Normalize User-Provided Starting Values — .hurdle_normalize_starts

<dl>

<dt>start_values</dt>
<dd>User-provided named list of starting values.</dd>


<dt>n_re</dt>
<dd>Number of random effects (2 or 3).</dd>


<dt>has_k</dt>
<dd>Logical, whether the model has a k parameter.</dd>

</dl>

.hurdle_normalize_starts: Normalize User-Provided Starting Values

Description

Usage

Value

Arguments