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-4.7)hbbr_1.1.2.zip(r-4.6)hbbr_1.1.2.zip(r-4.5)
hbbr_1.1.2.tgz(r-4.6-any)hbbr_1.1.2.tgz(r-4.5-any)
hbbr_1.1.2.tar.gz(r-4.7-any)hbbr_1.1.2.tar.gz(r-4.6-any)
hbbr_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:39f252c403. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 197 | ||
| source / vignettes | OK | 151 | ||
| linux-release-x86_64 | OK | 185 | ||
| macos-release-arm64 | OK | 288 | ||
| macos-oldrel-arm64 | OK | 206 | ||
| windows-devel | OK | 158 | ||
| windows-release | OK | 150 | ||
| windows-oldrel | OK | 159 | ||
| wasm-release | OK | 99 |
Exports:hbbr.FithbbrAug.Fit
Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs
