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earlygating  

Properties of Bayesian Early Gating Designs
View on CRAN: Click here


Download and install earlygating package within the R console
Install from CRAN:
install.packages("earlygating")

Install from Github:
library("remotes")
install_github("cran/earlygating")

Install by package version:
library("remotes")
install_version("earlygating", "1.1")



Attach the package and use:
library("earlygating")
Maintained by
Elias Laurin Meyer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-30
Latest Update: 2021-05-18
Description:
Computes the most important properties of four 'Bayesian' early gating designs (two single arm and two randomized controlled designs), such as minimum required number of successes in the experimental group to make a GO decision, operating characteristics and average operating characteristics with respect to the sample size. These might aid in deciding what design to use for the early phase trial.
How to cite:
Elias Laurin Meyer (2018). earlygating: Properties of Bayesian Early Gating Designs. R package version 1.1, https://cran.r-project.org/web/packages/earlygating. Accessed 31 Jan. 2025.
Previous versions and publish date:
1.0 (2018-08-30 16:10)
Other packages that cited earlygating R package
View earlygating citation profile
Other R packages that earlygating depends, imports, suggests or enhances
Complete documentation for earlygating
Functions, R codes and Examples using the earlygating R package
Some associated functions: avg_oc_wr_ne . avg_oc_wr_ne_rct . avg_oc_wr_ph . beta_par . oc . oc_rct . req_resp . req_resp_rct . 
Some associated R codes: Full earlygating package functions and examples
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