CRAN/E | goldilocks

goldilocks

Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints

Installation

About

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.

Key Metrics

Version 0.3.0
R ≥ 3.6.0
Published 2021-05-10 1083 days ago
Needs compilation? no
License GPL-3
CRAN checks goldilocks results
Language en-US

Downloads

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Maintainer

Maintainer

Graeme L. Hickey

graemeleehickey@gmail.com

Authors

Graeme L. Hickey

aut / cre

Ying Wan

aut

Thevaa Chandereng

aut

(bayesDP code as a template)

Becton
Dickinson
Company

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Example: Two-armed RCT

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.6.0
survival

Imports

dplyr
fastlogranktest
parallel
pbmcapply
PWEALL
rlang
stats

Suggests

covr
testthat ≥ 3.0.0
knitr
rmarkdown