Package: tidyposterior 1.0.1.9000
Max Kuhn
tidyposterior: Bayesian Analysis to Compare Models using Resampling Statistics
Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <https://jmlr.org/papers/v18/16-305.html>.
Authors:
tidyposterior_1.0.1.9000.tar.gz
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tidyposterior.pdf |tidyposterior.html✨
tidyposterior/json (API)
NEWS
| # Install 'tidyposterior' in R: |
| install.packages('tidyposterior', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidymodels/tidyposterior/issues
Pkgdown site:https://tidyposterior.tidymodels.org
- concrete_example - Example Data Sets
- contrast_samples - Example Data Sets
- noisy_example - Example Data Sets
- posterior_samples - Example Data Sets
- precise_example - Example Data Sets
- ts_example - Example Data Sets
Last updated 2 months agofrom:b050e7cf1b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 16 2024 |
| R-4.5-win | OK | Dec 16 2024 |
| R-4.5-linux | OK | Dec 16 2024 |
| R-4.4-win | OK | Dec 16 2024 |
| R-4.4-mac | OK | Dec 16 2024 |
| R-4.3-win | OK | Dec 16 2024 |
| R-4.3-mac | OK | Dec 16 2024 |
Exports:autoplotcontrast_modelsFisher_transinv_transln_translogit_transno_transperf_modtidytidy.perf_modvec_cast.data.frame.posteriorvec_cast.data.frame.posterior_diffvec_cast.posterior_diff.data.framevec_cast.posterior_diff.posterior_diffvec_cast.posterior_diff.tbl_dfvec_cast.posterior.data.framevec_cast.posterior.posteriorvec_cast.posterior.tbl_dfvec_cast.tbl_df.posteriorvec_cast.tbl_df.posterior_diffvec_proxy.posteriorvec_proxy.posterior_diffvec_ptype2.data.frame.posteriorvec_ptype2.data.frame.posterior_diffvec_ptype2.posterior_diff.data.framevec_ptype2.posterior_diff.posterior_diffvec_ptype2.posterior_diff.tbl_dfvec_ptype2.posterior.data.framevec_ptype2.posterior.posteriorvec_ptype2.posterior.tbl_dfvec_ptype2.tbl_df.posteriorvec_ptype2.tbl_df.posterior_diffvec_restore.posteriorvec_restore.posterior_diff
Dependencies:abindbackportsbase64encbayesplotBHbootbslibcachemcallrcheckmateclasscliclockcodetoolscolorspacecolourpickercommonmarkcpp11crayoncrosstalkdata.tabledescdiagramdialsDiceDesigndigestdistributionaldoFuturedplyrDTdygraphsevaluatefansifarverfastmapfontawesomeforeachfsfurrrfuturefuture.applygenericsggplot2ggridgesglobalsgluegowerGPfitgridExtragtablegtoolshardhathighrhtmltoolshtmlwidgetshttpuvigraphinlineipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallhslifecyclelistenvlme4loolubridatemagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimeminiUIminqamodelenvmunsellnlmenloptrnnetnumDerivparallellyparsnippillarpkgbuildpkgconfigplyrposteriorprettyunitsprocessxprodlimprogressrpromisespspurrrQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrecipesreshape2rlangrmarkdownrpartrsamplerstanrstanarmrstantoolssassscalessfdshapeshinyshinyjsshinystanshinythemesslidersourcetoolssparsevctrsSQUAREMStanHeadersstringistringrsurvivaltailortensorAthreejstibbletidyrtidyselecttimechangetimeDatetinytextunetzdbutf8vctrsviridisLitewarpwithrworkflowsworkflowsetsxfunxtablextsyamlyardstickzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Visualize the Posterior Distributions of Model Statistics | autoplot.perf_mod autoplot.perf_mod_workflow_set autoplot.posterior |
| Visualize the Posterior Distributions of Model Differences | autoplot.posterior_diff |
| Estimate the Difference Between Models | contrast_models |
| Simple Transformation Functions | Fisher_trans inv_trans ln_trans logit_trans no_trans |
| Bayesian Analysis of Resampling Statistics | perf_mod perf_mod.data.frame perf_mod.resamples perf_mod.rset perf_mod.tune_results perf_mod.workflow_set |
| Example Data Sets | concrete_example contrast_samples ex_object noisy_example posterior_samples precise_example ts_example |
| Summarize the Posterior Distributions of Model Statistics | summary.posterior |
| Summarize Posterior Distributions of Model Differences | summary.posterior_diff |
| Extract Posterior Distributions for Models | tidy.perf_mod |
