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-4.5-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 = '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:1 OK, 2 NOTE. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 10 2025 |
R-4.5-linux-x86_64 | NOTE | Mar 10 2025 |
R-4.4-linux-x86_64 | NOTE | Mar 10 2025 |
Exports:daldmixdgigmodel.qbldpaldmixplot.qbldqaldmixraldmixrgigsummary.qbld
Dependencies:base64encbriobslibcachemcallrclicrayondescdiffobjdigestellipseevaluatefastmapfftwtoolsfontawesomefsgluehighrhtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmcmcsememoisemimemvtnormpkgbuildpkgloadpraiseprocessxpsR6rappdirsRcppRcppArmadilloRcppDistrlangrmarkdownrprojrootsassstableGRtestthattinytexwaldowithrxfunyaml
Citation
'qbld' is a package that provides tools for modelling hierarchical Bayesian quantile regression model for binary longitudinal data (QBLD). This version of 'qbld' is currently licensed under the GNU Public License, v3 or later. If you are using 'qbld' for research that will be published, we request that you acknowledge this with the following citation:
Ayush Agarwal (2022). qbld: Quantile Regression for Binary Longitudinal Data. R package version 1.0.3. Indian Institute of Technology, Kanpur.
Corresponding BibTeX entry:
@Manual{, title = {qbld: Quantile Regression for Binary Longitudinal Data}, author = {Ayush Agarwal}, year = {2022}, address = {Indian Institute of Technology, Kanpur}, note = {R package version 1.0.3}, }
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 |