Package: hbbr 1.1.2
hbbr: Hierarchical Bayesian Benefit-Risk Assessment Using Discrete Choice Experiment
Implements assessment of benefit-risk balance using Bayesian Discrete Choice Experiment. For more details see the article by Mukhopadhyay et al. (2019) <doi:10.1080/19466315.2018.1527248>.
Authors:
hbbr_1.1.2.tar.gz
hbbr_1.1.2.zip(r-4.5)hbbr_1.1.2.zip(r-4.4)hbbr_1.1.2.zip(r-4.3)
hbbr_1.1.2.tgz(r-4.4-any)hbbr_1.1.2.tgz(r-4.3-any)
hbbr_1.1.2.tar.gz(r-4.5-noble)hbbr_1.1.2.tar.gz(r-4.4-noble)
hbbr_1.1.2.tgz(r-4.4-emscripten)hbbr_1.1.2.tgz(r-4.3-emscripten)
hbbr.pdf |hbbr.html✨
hbbr/json (API)
# Install 'hbbr' in R: |
install.packages('hbbr', repos = c('https://drsmukherjee.r-universe.dev', 'https://cloud.r-project.org')) |
- hbbrPilotResp - A list consisting of pilot data and associated discrete choice design information for the HBBR model framework.
- simAugData - A list consisting of simulated data, design, baseline profiles, and true part-worth matrix for the Augmented HBBR model framework.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:39f252c403. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:hbbr.FithbbrAug.Fit
Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs