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.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.6.0), survival |
| Imports: | dplyr, parallel, pbmcapply, PWEALL, Rcpp, rlang, stats |
| LinkingTo: | BH, Rcpp |
| Suggests: | covr, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2025-01-08 |
| DOI: | 10.32614/CRAN.package.goldilocks |
| Author: | Graeme L. Hickey 
[aut, cre],
Ying Wan [aut],
Thevaa Chandereng
[aut] (bayesDP code as a template),
Becton, Dickinson and Company [cph],
Tim Kacprowski [ctb] (For code from fastlogrank R package.) |
| Maintainer: | Graeme L. Hickey <graemeleehickey at gmail.com> |
| BugReports: | https://github.com/graemeleehickey/goldilocks/issues |
| License: | GPL-3 |
| URL: | https://github.com/graemeleehickey/goldilocks |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | goldilocks results |
Documentation:
| Reference manual: | goldilocks.html , goldilocks.pdf |
| Vignettes: |
Example: Two-armed RCT (source, R code) |
Downloads:
| Package source: | goldilocks_0.4.0.tar.gz |
| Windows binaries: | r-devel: goldilocks_0.4.0.zip, r-release: goldilocks_0.4.0.zip, r-oldrel: goldilocks_0.4.0.zip |
| macOS binaries: | r-release (arm64): goldilocks_0.4.0.tgz, r-oldrel (arm64): goldilocks_0.4.0.tgz, r-release (x86_64): goldilocks_0.4.0.tgz, r-oldrel (x86_64): goldilocks_0.4.0.tgz |
| Old sources: | goldilocks archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=goldilocks to link to this page.