Package: mmibain 0.2.0.9000
mmibain: Bayesian Informative Hypotheses Evaluation Web Applications
Researchers often have expectations about the relations between means of different groups or standardized regression coefficients; using informative hypothesis testing to incorporate these expectations into the analysis through order constraints increases statistical power Vanbrabant and Rosseel (2020) <doi:10.4324/9780429273872-14>. Another valuable tool, the Bayes factor, can evaluate evidence for multiple hypotheses without concerns about multiple testing, and can be used in Bayesian updating Hoijtink, Mulder, van Lissa & Gu (2019) <doi:10.1037/met0000201>. The 'bain' R package enables informative hypothesis testing using the Bayes factor. The 'mmibain' package provides 'shiny' web applications based on 'bain'. The RepliCrisis() function launches a 'shiny' card game to simulate the evaluation of replication studies while the mmibain() function launches a 'shiny' application to fit Bayesian informative hypotheses evaluation models from 'bain'.
Authors:
mmibain_0.2.0.9000.tar.gz
mmibain_0.2.0.9000.zip(r-4.7)mmibain_0.2.0.9000.zip(r-4.6)mmibain_0.2.0.9000.zip(r-4.5)
mmibain_0.2.0.9000.tgz(r-4.6-any)mmibain_0.2.0.9000.tgz(r-4.5-any)
mmibain_0.2.0.9000.tar.gz(r-4.7-any)mmibain_0.2.0.9000.tar.gz(r-4.6-any)
mmibain_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mmibain/json (API)
| # Install 'mmibain' in R: |
| install.packages('mmibain', repos = c('https://mightymetrika.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mightymetrika/mmibain/issues
bayes-factorbayesianhypothesisinformativestatistics
Last updated from:273d7b187f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 150 | ||
| source / vignettes | OK | 172 | ||
| linux-release-x86_64 | OK | 147 | ||
| macos-release-arm64 | OK | 81 | ||
| macos-oldrel-arm64 | OK | 71 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 99 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 135 |
Exports:BF_for_everyoneBFfedeal_cards_to_rc_gridgenerate_Ho_from_pairwise_tgenerate_study_datainterpret_replication_resultsmmib_modelmmibainprocess_original_studyprocess_replication_studyRepliCrisisswapper
Dependencies:abindbackportsbainbase64encbootbroombslibcachemcarcarDataclassclicolorspacecommonmarkcowplotcpp11crosstalkDerivdigestdoBydplyrDTe1071evaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2glueGPArotationgtablehighrhtmltoolshtmlwidgetshttpuvigraphisobandjquerylibjsonliteknitrlabelinglaterlatticelavaanlazyevallifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqammcardsmnormtmodelrnlmenloptrnnetnumDerivotelpbivnormpbkrtestpillarpkgconfigpromisesproxypsychpurrrquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownS7sassscalesshinyshinythemessourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Bayes Factors for Each Participant and Summarize Results | BF_for_everyone |
| Shiny Application for Setting Up and Running Bayes Factors for Each Participant | BFfe |
| Deal Cards to a RepliCrisis Grid | deal_cards_to_rc_grid |
| Generate Null Hypothesis from Pairwise t-test Results | generate_Ho_from_pairwise_t |
| Generate Study Data for RepliCrisis | generate_study_data |
| Interpretation of Replication Study Results | interpret_replication_results |
| Fit Statistical Models for MMI Bain Processing | mmib_model |
| mmibain Shiny App | mmibain |
| Process Original Study Data for Analysis | process_original_study |
| Process Replication Study Data | process_replication_study |
| RepliCrisis Shiny App | RepliCrisis |
| Card Matrix Swapping Function | swapper |
