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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.16 |
rolling linux/jammy R-4.5 | rmBayes_0.1.16.tar.gz |
2.7 MiB |
0.1.16 |
rolling linux/noble R-4.5 | rmBayes_0.1.16.tar.gz |
2.8 MiB |
0.1.16 |
rolling source/ R- | rmBayes_0.1.16.tar.gz |
59.2 KiB |
0.1.16 |
latest linux/jammy R-4.5 | rmBayes_0.1.16.tar.gz |
2.7 MiB |
0.1.16 |
latest linux/noble R-4.5 | rmBayes_0.1.16.tar.gz |
2.8 MiB |
0.1.16 |
latest source/ R- | rmBayes_0.1.16.tar.gz |
59.2 KiB |
0.1.16 |
2026-04-26 source/ R- | rmBayes_0.1.16.tar.gz |
59.2 KiB |
0.1.16 |
2026-04-23 source/ R- | rmBayes_0.1.16.tar.gz |
59.2 KiB |
0.1.16 |
2026-04-09 windows/windows R-4.5 | rmBayes_0.1.16.zip |
2.5 MiB |
0.1.16 |
2025-04-20 source/ R- | rmBayes_0.1.16.tar.gz |
59.2 KiB |
Dependencies (latest)
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)