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: |
0.3.0 |
Depends: |
R (≥ 3.6.0), survival |
Imports: |
dplyr, fastlogranktest, parallel, pbmcapply, PWEALL, rlang, stats |
Suggests: |
covr, testthat (≥ 3.0.0), knitr, rmarkdown |
Published: |
2021-05-10 |
Author: |
Graeme L. Hickey
[aut, cre],
Ying Wan [aut],
Thevaa Chandereng
[aut] (bayesDP code as a template),
Becton, Dickinson and Company [cph] |
Maintainer: |
Graeme L. Hickey <graemeleehickey at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
no |
Language: |
en-US |
Materials: |
README NEWS |
CRAN checks: |
goldilocks results |
Documentation:
Downloads:
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