https://khder90.r-universe.devRecent package updates in khder90R-universehttps://github.com/khder90.pnghttps://khder90.r-universe.devMon, 22 Jun 2026 18:30:28 GMTkhderalakkari1990@gmail.com (Khder Alakkari)Implements adaptive generalized Bayesian quantile regression with quantile-specific learning rates, HAC-based calibration, Gibbs posterior simulation, posterior summaries, predictive evaluation, and visualization tools. The package builds on the generalized Bayesian composite quantile regression framework of Hardy and Korobilis (2026) <doi:10.2139/ssrn.6618603> by allowing learning rates to vary across quantile levels. The implementation is designed for empirical work with small and moderate time-series samples where posterior calibration and tail-specific inference are important.https://github.com/r-universe/khder90/actions/runs/28016230269Mon, 22 Jun 2026 18:30:28 GMTAGBQR0.1.0successhttps://khder90.r-universe.devhttps://github.com/cran/AGBQR