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 , which allows users to explore the operating characteristics of different trial designs.


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install.packages("goldilocks")

0.3.0 by Graeme L. Hickey, a month ago


Browse source code at https://github.com/cran/goldilocks


Authors: Graeme L. Hickey [aut, cre] , Ying Wan [aut] , Thevaa Chandereng [aut] , bayesDP code as a template) , Becton , Dickinson and Company [cph]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, fastlogranktest, parallel, pbmcapply, PWEALL, rlang, stats

Depends on survival

Suggests covr, testthat, knitr, rmarkdown


See at CRAN