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MinEDfind  

A Bayesian Design for Minimum Effective Dosing-Finding Trial
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MinEDfind", "0.1.3")



Attach the package and use:
library("MinEDfind")
Maintained by
Chia-Wei Hsu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-05
Latest Update: 2020-05-05
Description:
The nonparametric two-stage Bayesian adaptive design is a novel phase II clinical trial design for finding the minimum effective dose (MinED). This design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. It is used to design single-agent trials.
How to cite:
Chia-Wei Hsu (2020). MinEDfind: A Bayesian Design for Minimum Effective Dosing-Finding Trial. R package version 0.1.3, https://cran.r-project.org/web/packages/MinEDfind
Previous versions and publish date:
No previous versions
Other packages that cited MinEDfind R package
View MinEDfind citation profile
Other R packages that MinEDfind depends, imports, suggests or enhances
Functions, R codes and Examples using the MinEDfind R package
Some associated functions: get.OC.MinED . next.MinED . plot.MinED . select.MinED . 
Some associated R codes: get.OC.MinED.R . next.MinED.R . plot.MinED.R . select.MinED.R .  Full MinEDfind package functions and examples
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