This package is considered a duplicate. The official version of this package is found at:https://graemeleehickey.r-universe.dev/goldilocks

Package: goldilocks 0.4.0

Graeme L. Hickey

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.

Authors:Graeme L. Hickey [aut, cre], Ying Wan [aut], Thevaa Chandereng [aut], Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]

goldilocks_0.4.0.tar.gz
goldilocks_0.4.0.tar.gz(r-4.5-noble)goldilocks_0.4.0.tar.gz(r-4.4-noble)
goldilocks_0.4.0.tgz(r-4.4-emscripten)goldilocks_0.4.0.tgz(r-4.3-emscripten)
goldilocks.pdf |goldilocks.html✨
goldilocks/json (API)
NEWS

# Install 'goldilocks' in R:

install.packages('goldilocks', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/graemeleehickey/goldilocks/issues

Uses libs:

c++– GNU Standard C++ Library v3

cpp

2.70 score 251 downloads 10 exports 23 dependencies

Last updated 30 days agofrom:ff29cbe24c. Checks:2 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 07 2025
R-4.5-linux-x86_64	OK	Feb 07 2025

Exports:enrollment ppwe prop_to_haz pwe_impute pwe_sim randomization sim_comp_data sim_trials summarise_sims survival_adapt

Dependencies:BH cli dplyr fansi generics glue lattice lifecycle magrittr Matrix pbmcapply pillar pkgconfig PWEALL R6 Rcpp rlang survival tibble tidyselect utf8 vctrs withr

Example: Two-armed RCT

Rendered frombroglio.Rmdusingknitr::rmarkdownon Feb 07 2025.

Last update: 2025-01-08
Started: 2021-05-10

Citation

Readme and manuals

Help Manual

Help page	Topics
Simulate enrollment times	enrollment
goldilocks	goldilocks
Cumulative distribution function of the PWE for a vectorized hazard rate parameter	ppwe
Estimate plausible piecewise constant hazard rates from summary summary event proportions	prop_to_haz
Impute piecewise exponential time-to-event outcomes	pwe_impute
Simulate piecewise exponential time-to-event outcomes	pwe_sim
Randomization allocation	randomization
Simulate a complete clinical trial with event data drawn from a piecewise exponential distribution	sim_comp_data
Simulate one or more clinical trials subject to known design parameters and treatment effect	sim_trials
Summarize simulations to get operating characteristics	summarise_sims
Simulate and execute a single adaptive clinical trial design with a time-to-event endpoint	survival_adapt