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.">

RoBTT: Robust Bayesian T-Test (original) (raw)

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.

Version: 1.3.1
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
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)
Suggests: parallel, testthat, vdiffr, knitr, rmarkdown, covr
Published: 2024-11-10
DOI: 10.32614/CRAN.package.RoBTT
Author: František Bartoš ORCID iD [aut, cre], Maximilian Maier ORCID iD [aut], Henrik R Godmann ORCID iD [aut]
Maintainer: František Bartoš <f.bartos96 at gmail.com>
BugReports: https://github.com/FBartos/RoBTT/issues
License: GPL-3
URL: https://fbartos.github.io/RoBTT/
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: RoBTT citation info
Materials: README, NEWS
CRAN checks: RoBTT results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RoBTTto link to this page.