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.

Package details

AuthorGjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Rik Crutzen [ctb] (<https://orcid.org/0000-0002-3731-6610>), Stefan Gruijters [ctb] (<https://orcid.org/0000-0003-0141-0071>)
MaintainerGjalt-Jorn Peters <gjalt-jorn@a-bc.eu>
LicenseGPL (>= 3)
Version0.4.3
URL https://r-packages.gitlab.io/behaviorchange
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("behaviorchange")

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behaviorchange documentation built on July 24, 2021, 1:06 a.m.