Package: beanz 3.1
Chenguang Wang
beanz: Bayesian Analysis of Heterogeneous Treatment Effect
It is vital to assess the heterogeneity of treatment effects (HTE) when making health care decisions for an individual patient or a group of patients. Nevertheless, it remains challenging to evaluate HTE based on information collected from clinical studies that are often designed and conducted to evaluate the efficacy of a treatment for the overall population. The Bayesian framework offers a principled and flexible approach to estimate and compare treatment effects across subgroups of patients defined by their characteristics. This package allows users to explore a wide range of Bayesian HTE analysis models, and produce posterior inferences about HTE. See Wang et al. (2018) <doi:10.18637/jss.v085.i07> for further details.
Authors:
beanz_3.1.tar.gz
beanz_3.1.tar.gz(r-4.5-noble)beanz_3.1.tar.gz(r-4.4-noble)
beanz.pdf |beanz.html✨
beanz/json (API)
NEWS
| # Install 'beanz' in R: |
| install.packages('beanz', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- solvd.sub - Subject level data from SOLVD trial
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:d2bbbc6673. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux-x86_64 | OK | Nov 25 2024 |
Exports:bzCallStanbzForestbzForestCompbzGailSimonbzGetSubgrpbzGetSubgrpRawbzPlotbzPlotCompbzPredSubgrpbzRptTblbzShinybzSummarybzSummaryComp
Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderssurvivaltensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Approaches for HTE Analysis | beanz-package beanz |
| Call STAN models | bzCallStan |
| Comparison of posterior treatment effects | bzComp bzForestComp bzPlotComp bzSummaryComp |
| Gail-Simon Test | bzGailSimon |
| Get subgroup treatment effect estimation and variance | bzGetSubgrp |
| Get subgroup treatment effect estimation and variance | bzGetSubgrpRaw |
| Predictive Distribution | bzPredSubgrp |
| Summary table of treatment effects | bzRptTbl |
| Run Web-Based BEANZ application | bzShiny |
| Posterior subgroup treatment effects | bzForest bzPlot bzSummary |
| Subject level data from SOLVD trial | solvd.sub |