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hbbr  

Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hbbr", "1.1.2")



Attach the package and use:
library("hbbr")
Maintained by
Saurabh Mukhopadhyay
[Scholar Profile | Author Map]
First Published: 2019-10-25
Latest Update: 2019-10-25
Description:
Implements assessment of benefit-risk balance using Bayesian Discrete Choice Experiment. For more details see the article by Mukhopadhyay et al. (2019) .
How to cite:
Saurabh Mukhopadhyay (2019). hbbr: Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment. R package version 1.1.2, https://cran.r-project.org/web/packages/hbbr. Accessed 11 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited hbbr R package
View hbbr citation profile
Other R packages that hbbr depends, imports, suggests or enhances
Complete documentation for hbbr
Functions, R codes and Examples using the hbbr R package
Some associated functions: hbbr.Fit . hbbrAug.Fit . hbbrPilotResp . simAugData . 
Some associated R codes: hbbrAugFit.R . hbbrAugResponseSim.R . hbbrFit.R . hbbrInit.R . hbbrPilotResponse.R .  Full hbbr package functions and examples
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