RoBTT-package

_PACKAGE

RoBTT_package

RoBTT.package

RoBTT: Bayesian model-averaged t-test extends the Bayesian t-test by
incorporating inference about heterogeneity of variances and outliers.

package

An implementation of Bayesian model-averaged t-test that allows
users to draw inference about the presence vs absence of the effect,
heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model
ensembles of models created as a combination of the competing hypotheses and uses
Bayesian model-averaging to combine the models using posterior model probabilities.
Users can obtain the model-averaged posterior distributions and inclusion Bayes
factors which account for the uncertainty in the data generating process
(Maier et al., 2022, <doi:10.31234/osf.io/d5zwc>).
Users can define a wide range of informative priors for all parameters
of interest. The package provides convenient functions for summary, visualizations,
and fit diagnostics.

Franti<c5><a1>ek Barto<c5><a1>

RoBTT

Robust Bayesian T-Test

František Bartoš

Maximilian Maier

Henrik R Godmann

RoBTT-package function

See maier2022bayesian;textualRoBTT for
details regarding the RoBTT methodology.
More details regarding customization of the Bayesian model-averaged t-test
are provided in
<a href="/link/Introduction%20to%20RoBTT?package=RoBTT&version=1.3.0" data-mini-rdoc="RoBTT::Introduction to RoBTT">Introduction to RoBTT</a>
vignette. Please, use the "Issues" section in the GitHub repository to
ask any further questions.

User guide

František Bartoš <a href="/link/f.bartos96%40gmail.com?package=RoBTT&version=1.3.0" data-mini-rdoc="RoBTT::f.bartos96@gmail.com">f.bartos96@gmail.com</a>

Author

RoBTT: Robust Bayesian t-test — RoBTT-package

See maier2022bayesian;textualRoBTT for
details regarding the RoBTT methodology.
More details regarding customization of the Bayesian model-averaged t-test
are provided in
<a href='../doc/Introduction_to_RoBTT.html'>Introduction to RoBTT</a>
vignette. Please, use the "Issues" section in the GitHub repository to
ask any further questions.

František Bartoš <a href='mailto:f.bartos96@gmail.com'>f.bartos96@gmail.com</a>

RoBTT-package: RoBTT: Robust Bayesian t-test

Description

Arguments

User guide

Author

References

See Also