Package: baskoptr 1.0.4

baskoptr: Utility-Based Optimization for Basket Trial Designs

A unified framework for optimizing basket trial designs. To this end, the package supplies several utility functions and also a function for executing optimization algorithms on basket trial designs. The considered utility functions are discussed in Sauer et al. (2025) <doi:10.1371/journal.pone.0323097>.

Authors:Lukas D Sauer [aut, cre]

baskoptr_1.0.4.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
baskoptr/json (API)

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

Bug tracker:https://github.com/lukasdsauer/baskoptr/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

basket-trialsclinical-trialsoptimizationutility-functionsjagscpp

3.65 score 3 scripts 254 downloads 11 exports 47 dependencies

Last updated from:adb158cebc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK356
source / vignettesOK212
linux-release-x86_64OK342
macos-release-arm64OK226
macos-oldrel-arm64OK188
windows-develOK357
windows-releaseOK304
windows-oldrelOK357
wasm-releaseOK146

Exports:epsilon_extremeget_p1sget_scenariosopt_design_gentau_extremeu_2ewpu_2powu_avgu_bndu_ecdu_ewp

Dependencies:arrangementsbackportsbaskexactbasksimbaskwrapbhmbasketcheckmateclicodacodetoolscpp11digestdoFuturedoRNGextraDistrfarverforeachfuturefuture.applyggplot2globalsgluegmpgtableHDIntervalisobanditeratorslabelinglatticelifecyclelistenvmagrittrparallellyprogressrpurrrR6RColorBrewerRcppRcppArmadillorjagsrlangrngtoolsS7scalesvctrsviridisLitewithr