.pmax_analytic_hurdle

For hurdle: Q(p) = Q0 * exp(k * (exp(-alpha * p) - 1))
Note: No Q0 normalization in exponent (unlike HS)
Pmax = -W_0(-1/k) / alpha

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

.pmax_analytic_hurdle function

<dl><dt>alpha_nat</dt>
<dd>Natural-scale alpha</dd>
<dt>k_nat</dt>
<dd>Natural-scale k</dd></dl>

Arguments

Analytic Pmax for Hurdle Model (Natural-parameter exponential form) — .pmax_analytic_hurdle

<dl>

<dt>alpha_nat</dt>
<dd>Natural-scale alpha</dd>


<dt>k_nat</dt>
<dd>Natural-scale k</dd>

</dl>

.pmax_analytic_hurdle: Analytic Pmax for Hurdle Model (Natural-parameter exponential form)

Description

Usage

Value

Arguments