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hbbr (version 1.1.2)
Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment
Description
Implements assessment of benefit-risk balance using Bayesian Discrete Choice Experiment. For more details see the article by Mukhopadhyay et al. (2019)
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Version
Version
1.1.2
Install
install.packages('hbbr')
Monthly Downloads
188
Version
1.1.2
License
GPL-2
Maintainer
Saurabh Mukhopadhyay
Last Published
October 25th, 2019
Functions in hbbr (1.1.2)
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hbbr.Fit
hbbr.Fit (Fits processed response data to hbbr model)
hbbrAug.Fit
hbbrAug.Fit (Fits processed response data to the augmented hbbr model)
simAugData
A list consisting of simulated data, design, baseline profiles, and true part-worth matrix for the Augmented HBBR model framework.
hbbrPilotResp
A list consisting of pilot data and associated discrete choice design information for the HBBR model framework.