c(person("Brent", "Kaplan", email = "bkaplan.ku@gmail.com", role = c("aut", "cre")),
person("Shawn", "Gilroy", email = "shawn.gilroy@temple.edu", role = "ctb"))
Brent Kaplan [aut, cre],
Shawn Gilroy [ctb]
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.
nlmrt, nlstools, nls2, ggplot2, reshape2, stats
openxlsx, knitr, dplyr, tidyr, rmarkdown

This is a sub national population projection model for calculating
population development. The model uses a cohort component method.
Further reading: Stanley K. Smith: A Practitioner's Guide to State and
Local Population Projections. 2013.  <doi:10.1007/978-94-007-7551-0>.

Useful functions for R beginners, including hints for the arguments of the 'plot()' function, self-defined functions for error bars, user-customized pair plots and hist plots, enhanced linear regression figures, etc.. This package could be helpful to R experts as well.

Tools for Behavior Change Researchers and Professionals
c(person("Gjalt-Jorn", "Peters",
email = "gjalt-jorn@a-bc.eu",
role = c("aut", "cre", "ctb")))
Contains specialised analyses and
visualisation tools for behavior change science.
These facilitate conducting determinant studies
(for example, using confidence interval-based
estimation of relevance, CIBER, or CIBERlite
plots) and systematically developing, reporting,
and analysing interventions (for example, using
acyclic behavior change diagrams). This package
is especially useful for researchers in the field of
behavior change or health psychology and to
behavior change professionals such as intervention
developers and prevention workers.