Package: RoBTT 1.3.0

RoBTT: Robust Bayesian T-Test

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.

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

RoBTT_1.3.0.tar.gz
RoBTT_1.3.0.zip(r-4.5)RoBTT_1.3.0.zip(r-4.4)RoBTT_1.3.0.zip(r-4.3)
RoBTT_1.3.0.tgz(r-4.4-x86_64)RoBTT_1.3.0.tgz(r-4.4-arm64)RoBTT_1.3.0.tgz(r-4.3-x86_64)RoBTT_1.3.0.tgz(r-4.3-arm64)
RoBTT_1.3.0.tar.gz(r-4.5-noble)RoBTT_1.3.0.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

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

On CRAN:

bayesianmodel-averagingoutlierst-test

16 exports 3 stars 1.35 score 63 dependencies 9 scripts 450 downloads

Last updated 6 months agofrom:cd27e0d8af. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-win-x86_64NOTEAug 27 2024
R-4.5-linux-x86_64NOTEAug 27 2024
R-4.4-win-x86_64NOTEAug 27 2024
R-4.4-mac-x86_64NOTEAug 27 2024
R-4.4-mac-aarch64NOTEAug 27 2024
R-4.3-win-x86_64NOTEAug 27 2024
R-4.3-mac-x86_64NOTEAug 27 2024
R-4.3-mac-aarch64NOTEAug 27 2024

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 Aug 27 2024.

Last update: 2023-07-16
Started: 2022-09-11

Truncated Bayesian Model-Averaged T-Test

Rendered fromTruncated_t_test.Rmdusingknitr::rmarkdownon Aug 27 2024.

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