Package: qbld 1.0.3
Ayush Agarwal
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-4.5-noble)qbld_1.0.3.tar.gz(r-4.4-noble)
qbld_1.0.3.tgz(r-4.4-emscripten)qbld_1.0.3.tgz(r-4.3-emscripten)
qbld.pdf |qbld.html✨
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 3 years agofrom:4df380e6c3. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 10 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 10 2024 |
Exports:daldmixdgigmodel.qbldpaldmixplot.qbldqaldmixraldmixrgigsummary.qbld
Dependencies:base64encbriobslibcachemcallrclicrayondescdiffobjdigestellipseevaluatefastmapfftwtoolsfontawesomefsgluehighrhtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmcmcsememoisemimemvtnormpkgbuildpkgloadpraiseprocessxpsR6rappdirsRcppRcppArmadilloRcppDistrlangrmarkdownrprojrootsassstableGRtestthattinytexwaldowithrxfunyaml
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 |
