Package: RoBTT
Title: Robust Bayesian T-Test
Version: 1.0.3
Maintainer: František Bartoš <f.bartos96@gmail.com>
Authors@R: 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"))
    )
Description: 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.
URL: https://fbartos.github.io/RoBTT/
BugReports: https://github.com/FBartos/RoBTT/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make
RoxygenNote: 7.2.1
NeedsCompilation: yes
ByteCompile: true
LinkingTo: StanHeaders (>= 2.18.1), rstan (>= 2.21.2), BH (>= 1.69.0),
        Rcpp (>= 0.12.15), RcppEigen (>= 0.3.3.4.0), RcppParallel (>=
        5.0.1)
Depends: R (>= 4.0.0), Rcpp (>= 0.12.19)
Imports: rstan(>= 2.21.2), rstantools(>= 1.5.0), RcppParallel (>=
        5.0.1), BayesTools (>= 0.2.12), bridgesampling, methods, Rdpack
Suggests: parallel, testthat, vdiffr, knitr, rmarkdown, covr
RdMacros: Rdpack
VignetteBuilder: knitr
Packaged: 2023-03-30 08:59:08 UTC; fbart
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
  Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>)
Repository: CRAN
Date/Publication: 2023-03-30 10:40:08 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 17:57:55 UTC; windows
Archs: x64
