Package: RoBTT
Title: Robust Bayesian T-Test
Version: 1.3.1
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")),
    person("Henrik R", "Godmann",     role = "aut",
    email   = "hrgodmann@gmail.com", comment = c(ORCID = "0009-0003-6410-4765"))    
    )
Description: An implementation of Bayesian model-averaged t-tests that allows 
    users to draw inferences about the presence versus absence of an effect, 
    variance heterogeneity, and potential outliers. The 'RoBTT' package estimates 
    ensembles of models created by combining competing hypotheses and applies 
    Bayesian model averaging using posterior model probabilities. Users can 
    obtain model-averaged posterior distributions and inclusion Bayes factors, 
    accounting for uncertainty in the data-generating process 
    (Maier et al., 2024, <doi:10.3758/s13423-024-02590-5>). The package also 
    provides a truncated likelihood version of the model-averaged t-test, 
    enabling users to exclude potential outliers without introducing bias 
    (Godmann et al., 2024, <doi:10.31234/osf.io/j9f3s>). Users can specify 
    a wide range of informative priors for all parameters of interest. 
    The package offers convenient functions for summary, visualization, 
    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: 7.3.2
NeedsCompilation: yes
ByteCompile: true
LinkingTo: StanHeaders (>= 2.26.0), rstan (>= 2.26.0), 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(>= 2.26.0), rstantools(>= 1.5.0), RcppParallel (>=
        5.0.1), BayesTools (>= 0.2.15), bridgesampling, methods,
        ggplot2, Rdpack
Suggests: parallel, testthat, vdiffr, knitr, rmarkdown, covr
RdMacros: Rdpack
VignetteBuilder: knitr
Packaged: 2024-11-09 21:36:45 UTC; fbart
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
  Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>),
  Henrik R Godmann [aut] (<https://orcid.org/0009-0003-6410-4765>)
Repository: CRAN
Date/Publication: 2024-11-10 02:00:01 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-24 05:27:47 UTC; windows
Archs: x64
