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.


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0.1.13 by Zhengxiao Wei, a month ago

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Authors: Zhengxiao Wei [aut, cre] , Farouk S. Nathoo [aut] , Michael E.J. Masson [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports methods, Rcpp, RcppParallel, rstan, rstantools

Suggests testthat, covr

Linking to BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

System requirements: GNU make

See at CRAN