Behavioral Economic Easy Demand R package beezdemand version 0.2.0 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. Software Depends: R (>= 4.1.0) Imports: nlsr, nlstools, nls2, ggplot2, stats, optimx, broom, lme4, emmeans, minpack.lm, nls.multstart, performance, scales, tibble, lifecycle, dplyr, tidyr, nlme, rlang, utils, TMB LinkingTo: TMB, RcppEigen Suggests: broom.mixed, GGally, knitr, tidyverse, rmarkdown, purrr, conflicted, devtools, here, readr, patchwork, testthat (>= 3.0.0) Brent Kaplan <bkaplan.ku@gmail.com> Comprehensive R Archive Network (CRAN) Brent Kaplan [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-3758-6776>), Shawn Gilroy [ctb] GPL (>= 2) 2026-03-03 application/tgz https://CRAN.R-project.org/package=beezdemand doi:10.32614/CRAN.package.beezdemand