RoBTT-package: RoBTT: Robust Bayesian t-test
In RoBTT: Robust Bayesian T-Test
RoBTT-package 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 \insertCitemaier2022bayesian;textualRoBTT 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
\insertAllCited
See Also
Useful links:
RoBTT documentation built on May 29, 2024, 12:03 p.m.
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| RoBTT-package | 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 \insertCitemaier2022bayesian;textualRoBTT 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
\insertAllCitedSee Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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