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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.
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Package details |
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| Author | Ayush Agarwal [aut, cre], Dootika Vats [ctb] |
| Maintainer | Ayush Agarwal<ayush.agarwal50@gmail.com> |
| License | GPL-3 |
| Version | 1.0.3 |
| Package repository | View on CRAN |
| Installation |
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