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:	0.4.0
Depends:	R (≥ 3.6.0), survival
Imports:	dplyr, parallel, pbmcapply, PWEALL, Rcpp, rlang, stats
LinkingTo:	BH, Rcpp
Suggests:	covr, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2025-01-08
DOI:	10.32614/CRAN.package.goldilocks
Author:	Graeme L. Hickey [aut, cre], Ying Wan [aut], Thevaa Chandereng [aut] (bayesDP code as a template), Becton, Dickinson and Company [cph], Tim Kacprowski [ctb] (For code from fastlogrank R package.)
Maintainer:	Graeme L. Hickey <graemeleehickey at gmail.com>
BugReports:	https://github.com/graemeleehickey/goldilocks/issues
License:	GPL-3
URL:	https://github.com/graemeleehickey/goldilocks
NeedsCompilation:	yes
Language:	en-US
Materials:	README NEWS
CRAN checks:	goldilocks results

Documentation:

Reference manual:	goldilocks.pdf
Vignettes:	Example: Two-armed RCT (source, R code)

Downloads:

Package source:	goldilocks_0.4.0.tar.gz
Windows binaries:	r-devel: goldilocks_0.4.0.zip, r-release: goldilocks_0.4.0.zip, r-oldrel: goldilocks_0.4.0.zip
macOS binaries:	r-release (arm64): goldilocks_0.4.0.tgz, r-oldrel (arm64): goldilocks_0.4.0.tgz, r-release (x86_64): goldilocks_0.4.0.tgz, r-oldrel (x86_64): goldilocks_0.4.0.tgz
Old sources:	goldilocks archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=goldilocks to link to this page.