c(
person("František", "Bartoš",     role = c("aut", "cre"),
email   = "f.bartos96@gmail.com", comment = c(ORCID = "0000-0002-0018-5573")),
person("Maximilian", "Maier",     role = "aut",
email   = "maximilianmaier0401@gmail.com", comment = c(ORCID = "0000-0002-9873-6096"))
)
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.
rstan(>= 2.21.2), rstantools(>= 1.5.0), RcppParallel (>=
5.0.1), BayesTools (>= 0.2.12), bridgesampling, methods, Rdpack
parallel, testthat, vdiffr, knitr, rmarkdown, covr
František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>)

Base S4-classes and functions for robust asymptotic statistics.

Base S4-classes and functions for robust asymptotic
statistics.

c(person("Matthias", "Kohl", role=c("cre", "cph", "aut"), email="Matthias.Kohl@stamats.de"), person("Peter", "Ruckdeschel",
role=c("aut", "cph")), person("Mykhailo", "Pupashenko", role="ctb", comment="contributed wrapper functions for diagnostic
plots"), person("Gerald", "Kroisandt", role="ctb", comment="contributed testing routines"), person("R Core Team", role = c("ctb", "cph"), comment="for source file 'format.perc'"))
Matthias Kohl [cre, cph, aut],
Peter Ruckdeschel [aut, cph],
Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic
plots),
Gerald Kroisandt [ctb] (contributed testing routines),
R Core Team [ctb, cph] (for source file 'format.perc')