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:Jane Pan [cre, aut], Sudipto Banerjee [aut]

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Bug tracker:https://github.com/jpan928/bayesassurance_rpackage/issues

On CRAN:

11 exports 1 stars 0.74 score 74 dependencies 23 scripts 202 downloads

Last updated 2 years agofrom:b074cd29a5. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:assurance_nd_nabayes_adcockbayes_goal_funcbayes_simbayes_sim_betabinbayes_sim_unbalancedbayes_sim_unknownvargen_Xngen_Xn_longitudinalpwr_curvepwr_freq

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSmathjaxrMatrixmemoisemgcvmimemisc3dmunsellnlmeopensslpbapplypillarpkgconfigplot3DplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml