Other packages > Find by keyword >

BAR  

Bayesian Adaptive Randomization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BAR", "0.1.1")



Attach the package and use:
library("BAR")
Maintained by
Chia-Wei Hsu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-07
Latest Update: 2022-11-08
Description:
Bayesian adaptive randomization is also called outcome adaptive randomization, which is increasingly used in clinical trials.
How to cite:
Chia-Wei Hsu (2022). BAR: Bayesian Adaptive Randomization. R package version 0.1.1, https://cran.r-project.org/web/packages/BAR. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-11-07 19:30)
Other packages that cited BAR R package
View BAR citation profile
Other R packages that BAR depends, imports, suggests or enhances
Complete documentation for BAR
Functions, R codes and Examples using the BAR R package
Some associated functions: get_oc_BAR . next_allocation_rate_BAR . 
Some associated R codes: get_oc_BAR.R . next_allocation_rate_BAR.R .  Full BAR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

vars  
VAR Modelling
Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error varia ...
Download / Learn more Package Citations See dependency  
candisc  
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical c ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ptycho  
Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a pr ...
Download / Learn more Package Citations See dependency  
generator  
Generate Data Containing Fake Personally Identifiable Information
Allows users to quickly and easily generate fake data containing Personally Identifiable Informatio ...
Download / Learn more Package Citations See dependency  

26,270

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA