RoBTT-package {RoBTT} | R Documentation |
RoBTT: Robust Bayesian t-test
Description
RoBTT: Bayesian model-averaged t-test extends the Bayesian t-test by incorporating inference about heterogeneity of variances and outliers.
User guide
See Maier et al. (2024) for details regarding the RoBTT methodology.
More details regarding customization of the Bayesian model-averaged t-test are provided in Introduction to RoBTT vignette. Please, use the "Issues" section in the GitHub repository to ask any further questions.
Author(s)
František Bartoš f.bartos96@gmail.com
References
Maier M, Bartoš F, Quintana DS, van den Bergh D, Marsman M, Ly A, Wagenmakers E (2024). “Model-averaged Bayesian t-tests.” Psychonomic Bulletin & Review. doi:10.3758/s13423-024-02590-5.
See Also
Useful links:
[Package RoBTT version 1.3.1 Index]