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:Ayush Agarwal [aut, cre], Dootika Vats [ctb]

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9 exports 0.00 score 56 dependencies 4 scripts 247 downloads

Last updated 3 years agofrom:4df380e6c3. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:daldmixdgigmodel.qbldpaldmixplot.qbldqaldmixraldmixrgigsummary.qbld

Dependencies:base64encbriobslibcachemcallrclicrayondescdiffobjdigestellipseevaluatefansifastmapfftwtoolsfontawesomefsgluehighrhtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmcmcsememoisemimemvtnormpillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6rappdirsRcppRcppArmadilloRcppDistrematch2rlangrmarkdownrprojrootsassstableGRtestthattibbletinytexutf8vctrswaldowithrxfunyaml