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: 0.1.2 Depends: R (≥ 2.5) Imports: nlsr, nlstools, nls2, ggplot2, reshape2, stats, optimx Suggests: openxlsx, knitr, dplyr, tidyr, tidyverse, rmarkdown Published: 2023-08-26 DOI: 10.32614/CRAN.package.beezdemand Author: Brent Kaplan [aut, cre, cph], 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=beezdemand to link to this page.
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