Package: goldilocks 0.4.0
goldilocks: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
Authors:
goldilocks_0.4.0.tar.gz
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goldilocks.pdf |goldilocks.html✨
goldilocks/json (API)
NEWS
| # Install 'goldilocks' in R: |
| install.packages('goldilocks', repos = c('https://graemeleehickey.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/graemeleehickey/goldilocks/issues
adaptivebayesianbayesian-statisticsclinical-trialsstatisticscpp
Last updated 10 days agofrom:38a7897263. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 09 2025 |
| R-4.5-win-x86_64 | OK | Jan 09 2025 |
| R-4.5-linux-x86_64 | OK | Jan 09 2025 |
| R-4.4-win-x86_64 | OK | Jan 09 2025 |
| R-4.4-mac-x86_64 | OK | Jan 09 2025 |
| R-4.4-mac-aarch64 | OK | Jan 09 2025 |
| R-4.3-win-x86_64 | OK | Jan 09 2025 |
| R-4.3-mac-x86_64 | OK | Jan 09 2025 |
| R-4.3-mac-aarch64 | OK | Jan 09 2025 |
Exports:enrollmentppweprop_to_hazpwe_imputepwe_simrandomizationsim_comp_datasim_trialssummarise_simssurvival_adapt
Dependencies:BHclidplyrfansigenericsgluelatticelifecyclemagrittrMatrixpbmcapplypillarpkgconfigPWEALLR6Rcpprlangsurvivaltibbletidyselectutf8vctrswithr
