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; ), (2) fitting models of demand such as linear (Hursh, Raslear, Bauman, & Black, 1989, ), exponential (Hursh & Silberberg, 2008, ) and modified exponential (Koffarnus, Franck, Stein, & Bickel, 2015, ), and (3) calculating numerous measures relevant to applied behavioral economists (Intensity, Pmax, Omax). Also supports plotting and comparing data.


Reference manual

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install.packages("beezdemand")

0.2.0 by Brent Kaplan, 7 months ago


https://brentkaplan.github.io/beezdemand/, https://github.com/brentkaplan/beezdemand


Report a bug at https://github.com/brentkaplan/beezdemand/issues


Browse source code at https://github.com/cran/beezdemand


Authors: Brent Kaplan [aut, cre, cph] (ORCID: , Shawn Gilroy [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports nlsr, nlstools, nls2, ggplot2, stats, optimx, broom, lme4, emmeans, minpack.lm, nls.multstart, performance, scales, tibble, lifecycle, dplyr, tidyr, nlme, rlang, utils, TMB

Suggests broom.mixed, GGally, knitr, tidyverse, rmarkdown, purrr, conflicted, devtools, here, readr, patchwork, testthat

Linking to TMB, RcppEigen

System requirements: GNU make


Imported by beezdiscounting.


See at CRAN