cran. See also theR-universe documentation.Package: historicalborrow 1.1.0
William Michael Landau
historicalborrow: Non-Longitudinal Bayesian Historical Borrowing Models
Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Authors:
historicalborrow_1.1.0.tar.gz
historicalborrow_1.1.0.tar.gz(r-4.5-noble)historicalborrow_1.1.0.tar.gz(r-4.4-noble)
historicalborrow_1.1.0.tgz(r-4.4-emscripten)historicalborrow_1.1.0.tgz(r-4.3-emscripten)
historicalborrow.pdf |historicalborrow.html✨
historicalborrow/json (API)
| # Install 'historicalborrow' in R: |
| install.packages('historicalborrow', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/wlandau/historicalborrow/issues
Pkgdown site:https://wlandau.github.io
Last updated 5 months agofrom:a5b2315d34. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 09 2025 |
| R-4.5-linux | OK | Jan 09 2025 |
Exports:hb_convergencehb_datahb_esshb_mcmc_hierarchicalhb_mcmc_independenthb_mcmc_mixturehb_mcmc_mixture_hyperparametershb_mcmc_poolhb_metricshb_plot_borrowhb_plot_grouphb_plot_tauhb_s_tauhb_sim_hierarchicalhb_sim_independenthb_sim_mixturehb_sim_poolhb_summary
Dependencies:abindbackportscheckmateclicodacolorspacecpp11distributionaldplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgconfigposteriorpurrrR6RColorBrewerrjagsrlangscalesstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| historicalborrow: Bayesian historical borrowing models for clinical studies. | historicalborrow-package |
| Check convergence diagnostics | hb_convergence |
| Standardize data | hb_data |
| Effective sample size (ESS) | hb_ess |
| Hierarchical model MCMC | hb_mcmc_hierarchical |
| Independent-study model MCMC | hb_mcmc_independent |
| Mixture model MCMC | hb_mcmc_mixture |
| Mixture model MCMC hyperparameters | hb_mcmc_mixture_hyperparameters |
| Non-longitudinal pooled MCMC | hb_mcmc_pool |
| Plot a borrowing model response against the benchmark models. | hb_plot_borrow |
| Plot the groups of a borrowing model and its benchmark models. | hb_plot_group |
| Plot tau | hb_plot_tau |
| Non-longitudinal hierarchical simulations. | hb_sim_hierarchical |
| Non-longitudinal independent simulations. | hb_sim_independent |
| Non-longitudinal mixture simulations. | hb_sim_mixture |
| Non-longitudinal pooled simulations. | hb_sim_pool |
| Model summary | hb_summary |
