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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.0 |
rolling source/ R- | goldilocks_0.4.0.tar.gz |
287.1 KiB |
0.4.0 |
rolling linux/jammy R-4.5 | goldilocks_0.4.0.tar.gz |
366.4 KiB |
0.4.0 |
rolling linux/noble R-4.5 | goldilocks_0.4.0.tar.gz |
367.6 KiB |
0.4.0 |
latest source/ R- | goldilocks_0.4.0.tar.gz |
287.1 KiB |
0.4.0 |
latest linux/jammy R-4.5 | goldilocks_0.4.0.tar.gz |
366.4 KiB |
0.4.0 |
latest linux/noble R-4.5 | goldilocks_0.4.0.tar.gz |
367.6 KiB |
0.4.0 |
2026-04-23 source/ R- | goldilocks_0.4.0.tar.gz |
287.1 KiB |
0.4.0 |
2026-04-09 windows/windows R-4.5 | goldilocks_0.4.0.zip |
690.9 KiB |
0.4.0 |
2025-04-20 source/ R- | goldilocks_0.4.0.tar.gz |
287.1 KiB |