Package: tipmap 1.0.1

Christian Stock

tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.

Authors:Christian Stock [aut, cre], Morten Dreher [aut], Lars Andersen [aut], Emma Torrini [ctb], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]

tipmap_1.0.1.tar.gz
tipmap_1.0.1.zip(r-4.7-any)tipmap_1.0.1.zip(r-4.6-any)tipmap_1.0.1.zip(r-4.5-any)
tipmap_1.0.1.tgz(r-4.6-any)tipmap_1.0.1.tgz(r-4.5-any)
tipmap_1.0.1.tar.gz(r-4.7-any)tipmap_1.0.1.tar.gz(r-4.6-any)
tipmap_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tipmap/json (API)

# Install 'tipmap' in R:
install.packages('tipmap', repos = c('https://boehringer-ingelheim.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/boehringer-ingelheim/tipmap/issues

Pkgdown/docs site:https://boehringer-ingelheim.github.io

On CRAN:

Conda:

bayesian-borrowingbayesian-methodsclinical-trialevidence-synthesisextrapolationpediatricspharmaceutical-developmentprior-elicitationtipping-pointweighting

4.60 score 2 stars 10 scripts 410 downloads 17 exports 77 dependencies

Last updated from:06e8696eab. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK150
source / vignettesOK241
linux-releaseOK167
macos-releaseOK173
macos-oldrelOK222
windows-develOK146
windows-releaseOK115
windows-oldrelOK121
wasm-releaseOK139

Exports:create_new_trial_datacreate_posterior_datacreate_prior_datacreate_tipmap_datadraw_beta_mixture_nsamplesfit_beta_1expfit_beta_mult_expget_cum_probs_1expget_model_input_1expget_posterior_by_weightget_summary_mult_expget_tipping_pointsload_tipmap_dataoc_biasoc_coverageoc_postipmap_plot

Dependencies:abindassertthatbackportsbayesplotBHcallrcheckmateclicodacodetoolscpp11descdigestdistributionaldplyrfarverFormulafurrrfuturegenericsggdistggplot2ggridgesglobalsgluegridExtragtableinlineisobandjsonlitelabelinglatticelifecyclelistenvloomagrittrmatrixStatsmvtnormnumDerivotelparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RBesTrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreshape2rlangrstanrstantoolsS7scalesStanHeadersstatmodstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Introduction to the 'tipmap' package
Purpose of the package | Generating data for an exemplary tipping point analysis | Derivation of MAP prior based on trials in the source population | Trial results in the target population | Performing the tipping point analysis | Computation of posteriors for a range of weights | Creating the tipping point plot | Extracting quantities of interest | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2024-02-08
Started: 2023-01-28

Specifying a primary weight of the informative prior component
Introduction | Expert weightings collected using the roulette method | Fitting beta distributions to expert data | Summary statistics | Figures | Without linear pooling | With linear pooling | References
Rendered fromexpert_elicitation.Rmdusingknitr::rmarkdown

Last update: 2023-07-26
Started: 2023-04-20