Package: RoBTT 1.3.1

RoBTT: Robust Bayesian T-Test

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.

Authors:František Bartoš [aut, cre], Maximilian Maier [aut], Henrik R Godmann [aut]

RoBTT_1.3.1.tar.gz
RoBTT_1.3.1.zip(r-4.5)RoBTT_1.3.1.zip(r-4.4)RoBTT_1.3.1.zip(r-4.3)
RoBTT_1.3.1.tgz(r-4.4-x86_64)RoBTT_1.3.1.tgz(r-4.4-arm64)RoBTT_1.3.1.tgz(r-4.3-x86_64)RoBTT_1.3.1.tgz(r-4.3-arm64)
RoBTT_1.3.1.tar.gz(r-4.5-noble)RoBTT_1.3.1.tar.gz(r-4.4-noble)
RoBTT.pdf |RoBTT.html
RoBTT/json (API)
NEWS

# Install 'RoBTT' in R:
install.packages('RoBTT', repos = c('https://fbartos.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/fbartos/robtt/issues

Pkgdown site:https://fbartos.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

bayesianmodel-averagingoutlierst-testcpp

5.43 score 3 stars 9 scripts 750 downloads 16 exports 63 dependencies

Last updated 2 months agofrom:708cb090df. Checks:2 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 10 2025
R-4.5-win-x86_64NOTEJan 10 2025
R-4.5-linux-x86_64OKJan 10 2025
R-4.4-win-x86_64NOTEJan 10 2025
R-4.4-mac-x86_64NOTEJan 10 2025
R-4.4-mac-aarch64NOTEJan 10 2025
R-4.3-win-x86_64NOTEJan 10 2025
R-4.3-mac-x86_64NOTEJan 10 2025
R-4.3-mac-aarch64NOTEJan 10 2025

Exports:check_RoBTTcheck_setupdiagnosticsdiagnostics_autocorrelationdiagnostics_densitydiagnostics_traceinterpretis.RoBTTpriorprior_nonerho2logsdrRoBTTRoBTT.get_optionRoBTT.optionsset_controlset_convergence_checks

Dependencies:abindbackportsBayesToolsBHbridgesamplingBrobdingnagcallrcheckmateclicodacolorspacedescdistributionalextraDistrfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackrlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbleutf8vctrsviridisLitewithr

Introduction to RoBTT

Rendered fromIntroduction_to_RoBTT.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-11-11
Started: 2022-09-11

Truncated Bayesian Model-Averaged T-Test

Rendered fromTruncated_t_test.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-11-11
Started: 2024-04-04