behaviorchange: Tools for Behavior Change Researchers and Professionals

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, see Crutzen, Noijen & Peters (2017) <doi:10.3389/fpubh.2017.00165>), systematically developing, reporting, and analysing interventions (for example, using Acyclic Behavior Change Diagrams), and reporting about intervention effectiveness (for example, using the Numbers Needed for Change, see Gruijters & Peters (2017) <doi:10.31234/osf.io/2bau7>), and computing the required sample size (using the Meaningful Change Definition, see Gruijters & Peters (2019) <doi:10.31234/osf.io/jc295>). 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.

Version:	0.2.4
Depends:	R (≥ 3.0.0)
Imports:	BiasedUrn (≥ 1.07), data.tree (≥ 0.7.5), DiagrammeR (≥ 1.0.0), DiagrammeRsvg (≥ 0.1.0), ggplot2 (≥ 2.2.1), googlesheets (≥ 0.3.0), gridExtra (≥ 2.3), gtable (≥ 0.2.0), magrittr (≥ 0.1.5), png (≥ 0.1), ufs (≥ 0.3.2), viridis (≥ 0.5.1), yum (≥ 0.0.1)
Suggests:	kableExtra, knitr, openxlsx, rmarkdown, rsvg, webshot
Published:	2020-10-21
Author:	Gjalt-Jorn Peters [aut, cre], Rik Crutzen [ctb], Stefan Gruijters [ctb]
Maintainer:	Gjalt-Jorn Peters <gjalt-jorn at a-bc.eu>
BugReports:	https://gitlab.com/r-packages/behaviorchange/-/issues
License:	GPL (≥ 3)
URL:	https://r-packages.gitlab.io/behaviorchange
NeedsCompilation:	no
Materials:	README
CRAN checks:	behaviorchange results

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