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behaviorchange  

Tools for Behavior Change Researchers and Professionals
View on CRAN: Click here


Download and install behaviorchange package within the R console
Install from CRAN:
install.packages("behaviorchange")

Install from Github:
library("remotes")
install_github("cran/behaviorchange")

Install by package version:
library("remotes")
install_version("behaviorchange", "25.8.0")



Attach the package and use:
library("behaviorchange")
Maintained by
Gjalt-Jorn Peters
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-05
Latest Update: 2025-09-03
Description:
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) ), 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) ), and computing the required sample size (using the Meaningful Change Definition, see Gruijters & Peters (2020) ). 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.
How to cite:
Gjalt-Jorn Peters (2018). behaviorchange: Tools for Behavior Change Researchers and Professionals. R package version 25.8.0, https://cran.r-project.org/web/packages/behaviorchange. Accessed 10 Oct. 2026.
Previous versions and publish date:
(2026-08-24 07:52), 0.0.1 (2018-08-05 20:20), 0.0.2 (2018-09-25 01:10), 0.1.0 (2019-01-17 15:10), 0.2.0 (2019-08-08 20:40), 0.2.1 (2019-08-22 21:10), 0.2.2 (2020-03-01 22:30), 0.2.4 (2020-10-21 22:20), 0.3.0 (2021-02-10 17:30), 0.4.0 (2021-03-15 23:40), 0.4.3 (2021-07-23 21:30), 0.5.1 (2022-04-06 12:22), 0.5.5 (2023-03-05 00:20), 25.8.0 (2025-08-20 08:10)
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