Package: bayesassurance 0.1.0
bayesassurance: Bayesian Assurance Computation
Computes Bayesian assurance under various settings characterized by different assumptions and objectives, including precision-based conditions, credible intervals, and goal functions. All simulation-based functions included in this package rely on a two-stage Bayesian method that assigns two distinct priors to evaluate the probability of observing a positive outcome, which addresses subtle limitations that take place when using the standard single-prior approach. For more information, please refer to Pan and Banerjee (2021) <arxiv:2112.03509>.
Authors:
bayesassurance_0.1.0.tar.gz
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bayesassurance.pdf |bayesassurance.html✨
bayesassurance/json (API)
NEWS
| # Install 'bayesassurance' in R: |
| install.packages('bayesassurance', repos = c('https://jpan928.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jpan928/bayesassurance_rpackage/issues
Last updated 2 years agofrom:b074cd29a5. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win | NOTE | Nov 02 2024 |
| R-4.5-linux | NOTE | Nov 02 2024 |
| R-4.4-win | OK | Nov 02 2024 |
| R-4.4-mac | OK | Nov 02 2024 |
| R-4.3-win | OK | Nov 02 2024 |
| R-4.3-mac | OK | Nov 02 2024 |
Exports:assurance_nd_nabayes_adcockbayes_goal_funcbayes_simbayes_sim_betabinbayes_sim_unbalancedbayes_sim_unknownvargen_Xngen_Xn_longitudinalpwr_curvepwr_freq
Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSmathjaxrMatrixmemoisemgcvmimemisc3dmunsellnlmeopensslpbapplypillarpkgconfigplot3DplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
bayesassurance: Functions Based on Closed-Form Solutions
Rendered fromVignette_1.Rmdusingknitr::rmarkdownon Nov 02 2024.Last update: 2022-05-22
Started: 2022-05-22
bayesassurance: Simulation-Based Functions
Rendered fromVignette_2.Rmdusingknitr::rmarkdownon Nov 02 2024.Last update: 2022-05-22
Started: 2022-05-22
bayesassurance: Additional Simulation-Based Functions
Rendered fromVignette_3.Rmdusingknitr::rmarkdownon Nov 02 2024.Last update: 2022-05-22
Started: 2022-05-22
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Assurance Computation | assurance_nd_na |
| Bayesian Assurance Computation in the Precision-Based Setting | bayes_adcock |
| Decision Making using Rate of Correct Classification | bayes_goal_func |
| Bayesian Simulation in Conjugate Linear Model Framework | bayes_sim |
| Bayesian Assurance Computation in the Beta-Binomial Setting | bayes_sim_betabin |
| Unbalanced Bayesian Simulation in Conjugate Linear Model Framework | bayes_sim_unbalanced |
| Bayesian Simulation with Composite Sampling | bayes_sim_unknownvar |
| Design Matrix Generator | gen_Xn |
| Design Matrix Generator in Longitudinal Setting | gen_Xn_longitudinal |
| Plotting Power and Assurance Curves Simultaneously | pwr_curve |
| Frequentist Power Computation | pwr_freq |
