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BFpack  

Flexible Bayes Factor Testing of Scientific Expectations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BFpack", "1.2.3")



Attach the package and use:
library("BFpack")
Maintained by
Joris Mulder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-31
Latest Update: 2023-10-20
Description:
Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. The statistical underpinnings are described in Mulder and Xin (2019) , Mulder and Gelissen (2019) , Mulder (2016) , Mulder and Fox (2019) , Mulder and Fox (2013) , Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder (2017) , Hoijtink, Mulder, van Lissa, and Gu, (2018) , Gu, Mulder, and Hoijtink, (2018) , Hoijtink, Gu, and Mulder, (2018) , and Hoijtink, Gu, Mulder, and Rosseel, (2018) . When using the packages, please refer to Mulder et al. (2021) .
How to cite:
Joris Mulder (2019). BFpack: Flexible Bayes Factor Testing of Scientific Expectations. R package version 1.2.3, https://cran.r-project.org/web/packages/BFpack
Previous versions and publish date:
0.1.0 (2019-10-31 16:50), 0.1.1 (2020-02-19 18:30), 0.2.1 (2020-05-11 19:50), 0.3.1 (2020-11-30 16:30), 0.3.2 (2021-02-02 11:20), 1.0.0 (2023-09-11 11:09), 1.2.2 (2023-09-16 07:42)
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