rmBayes: Performing Bayesian Inference for Repeated-Measures Designs
A Bayesian credible interval is interpreted with respect to posterior probability, and this interpretation is far more intuitive than that of a frequentist confidence interval. However, standard highest-density intervals can be wide due to between-subjects variability and tends to hide within-subject effects, rendering its relationship with the Bayes factor less clear in within-subject (repeated-measures) designs. This urgent issue can be addressed by using within-subject intervals in within-subject designs, which integrate four methods including the Wei-Nathoo-Masson (2023) <doi:10.3758/s13423-023-02295-1>, the Loftus-Masson (1994) <doi:10.3758/BF03210951>, the Nathoo-Kilshaw-Masson (2018) <doi:10.1016/j.jmp.2018.07.005>, and the Heck (2019) <doi:10.31234/osf.io/whp8t> interval estimates.
| Version: | 0.1.16 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods,Rcpp (≥ 0.12.0),RcppParallel,rstan (≥ 2.26.0),rstantools (≥ 2.1.1), stats |
| LinkingTo: | BH (≥ 1.66.0),Rcpp (≥ 0.12.0),RcppEigen (≥ 0.3.3.3.0),RcppParallel,rstan (≥ 2.26.0),StanHeaders (≥ 2.26.0) |
| Suggests: | knitr,testthat,rmarkdown,covr |
| Published: | 2024-02-19 |
| DOI: | 10.32614/CRAN.package.rmBayes |
| Author: | Zhengxiao Wei [aut, cre], Farouk S. Nathoo [aut], Michael E. J. Masson [aut] |
| Maintainer: | Zhengxiao Wei <zhengxiao at uvic.ca> |
| BugReports: | https://github.com/zhengxiaoUVic/rmBayes/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/zhengxiaoUVic/rmBayes |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README,NEWS |
| CRAN checks: | rmBayes results |
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