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goldilocks
View on CRAN: Click
here
Download and install goldilocks package within the R console
Install from CRAN:
install.packages("goldilocks")
Install from Github:
library("remotes")
install_github("cran/goldilocks") Install by package version:
library("remotes")
install_version("goldilocks", "0.4.0") Attach the package and use:
library("goldilocks")
Maintained by
Graeme L. Hickey
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-10
Latest Update: 2025-01-08
Description:
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.
How to cite:
Graeme L. Hickey (2021). goldilocks: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints. R package version 0.4.0, https://cran.r-project.org/web/packages/goldilocks. Accessed 25 Aug. 2026.
Previous versions and publish date:
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View goldilocks citation profile
Other R packages that goldilocks depends,
imports, suggests or enhances
Complete documentation for goldilocks
Functions, R codes and Examples using
the goldilocks R package
Some associated functions: enrollment . goldilocks . ppwe . prop_to_haz . pwe_impute . pwe_sim . randomization . sim_trials . summarise_sims . survival_adapt .
Some associated R codes: analyse_data.R . enrollment.R . goldilocks.R . haz_to_prop.R . impute_data.R . posterior.R . prop_to_haz.R . pwe.R . randomization.R . sim_trials.R . summarise_sims.R . survival_adapt.R . Full goldilocks package functions and examples
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