beezdemand: Behavioral Economic Easy Demand
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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 2.5) |
| Imports: |
nlmrt, nlstools, nls2, ggplot2, reshape2, stats |
| Suggests: |
openxlsx, knitr, dplyr, tidyr, rmarkdown |
| Published: |
2018-07-31 |
| Author: |
Brent Kaplan [aut, cre],
Shawn Gilroy [ctb] |
| Maintainer: |
Brent Kaplan <bkaplan.ku at gmail.com> |
| License: |
GPL-2 | file LICENSE |
| URL: |
https://github.com/brentkaplan/beezdemand |
| NeedsCompilation: |
no |
| Citation: |
beezdemand citation info |
| Materials: |
README NEWS |
| CRAN checks: |
beezdemand results |
Documentation:
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