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-subjects effects, rendering its relationship with the Bayes factor less clear
in within-subjects (repeated-measures) designs.
This urgent issue can be addressed by using within-subjects intervals in within-subjects designs,
which integrate four methods including the Loftus-Masson (1994) <doi:10.3758/BF03210951>,
the Rouder-Morey-Speckman-Province (2012) <doi:10.1016/j.jmp.2012.08.001>,
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: |
0.1.15 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, Rcpp (≥ 0.12.0), RcppParallel, rstan (≥ 2.18.1), rstantools (≥ 2.1.1), stats |
| LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Suggests: |
knitr, testthat, rmarkdown, covr |
| Published: |
2022-09-14 |
| 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 |
| CRAN checks: |
rmBayes results |
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