Package: qbld 1.0.3
qbld: Quantile Regression for Binary Longitudinal Data
Implements the Bayesian quantile regression model for binary longitudinal data (QBLD) developed in Rahman and Vossmeyer (2019) <doi:10.1108/S0731-90532019000040B009>. The model handles both fixed and random effects and implements both a blocked and an unblocked Gibbs sampler for posterior inference.
Authors:
qbld_1.0.3.tar.gz
qbld_1.0.3.tar.gz(r-4.7-arm64)qbld_1.0.3.tar.gz(r-4.7-x86_64)qbld_1.0.3.tar.gz(r-4.6-arm64)qbld_1.0.3.tar.gz(r-4.6-x86_64)
qbld_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
qbld/json (API)
| # Install 'qbld' in R: |
| install.packages('qbld', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- airpollution - Dataset
- locust - Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4df380e6c3. Checks:4 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 195 | ||
| linux-devel-x86_64 | NOTE | 174 | ||
| source / vignettes | OK | 323 | ||
| linux-release-arm64 | NOTE | 194 | ||
| linux-release-x86_64 | NOTE | 186 | ||
| wasm-release | OK | 173 |
Exports:daldmixdgigmodel.qbldpaldmixplot.qbldqaldmixraldmixrgigsummary.qbld
Dependencies:base64encbriobslibcachemcallrclicrayondescdiffobjdigestellipseevaluatefastmapfftwtoolsfontawesomefsgluehighrhtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmcmcsememoisemimemvtnormotelpkgbuildpkgloadpraiseprocessxpsR6rappdirsRcppRcppArmadilloRcppDistrlangrmarkdownrprojrootsassstableGRtestthattinytexwaldowithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Quantile Regression for Binary Longitudinal Data | qbld-package qbld |
| Dataset | airpollution |
| Asymmetric Laplace distribution | aldmix daldmix paldmix qaldmix raldmix |
| Generalised Inverse Gaussian | dgig gig rgig |
| Dataset | locust |
| QBLD Sampler | model.qbld |
| Plot QBLD | plot.qbld |
| QBLD Summary Class | print.summary.qbld summary.qbld |
