goldilocks
0.6.0Adaptive Trial Designs for Survival and Binary Endpoints
Overview
Implements Goldilocks adaptive trial designs for time-to-event and fixed-time binary endpoints. Outcomes are generated with a piecewise exponential model, with conjugate Gamma priors used for predictive imputation. Final analyses may use log-rank or Cox tests, Bayesian piecewise-exponential inference, frequentist risk differences, or Bayesian beta-binomial inference. The method closely follows Broglio and colleagues doi:10.1080/10543406.2014.888569 and supports simulation of design operating characteristics.
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- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-windows-x86_64
- NOTE2026-07-3112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 11%
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Code & Tests
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.6.0Latest
- 0.5.02026-06-10 · diff ↗
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.4.02025-01-08 · diff ↗
- unarchivedReturned to CRAN2025-01-08
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-02-12requires archived package 'fastlogranktest'
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.3.02021-05-10
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-05-10
- Total releases
- 4 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 286 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet