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type: software
license: MIT
title: 'exdqlm: Extended Dynamic Quantile Linear Models'
version: 0.4.0
doi: 10.32614/CRAN.package.exdqlm
abstract: Bayesian quantile-regression routines for dynamic state-space models and
  static regression under the extended asymmetric Laplace (exAL) error distribution.
  The dynamic state-space models are extended dynamic quantile linear models (exDQLMs).
  The package combines dynamic exDQLM inference via LDVB, MCMC, and legacy ISVB with
  static exAL regression via LDVB and MCMC, reduced AL/DQLM paths through fixed skewness,
  component builders for trend/seasonality/regression blocks, static shrinkage priors
  including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound diagnostics,
  optional C++ accelerators, and posterior predictive synthesis across separately
  fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described
  in Barata et al. (2020) <https://doi.org/10.1214/21-AOAS1497>.
authors:
- family-names: Barata
  given-names: Raquel
  email: raquel.a.barata@gmail.com
- family-names: Aguirre
  given-names: Antonio
repository: https://antonioapdl.r-universe.dev
repository-code: https://github.com/AntonioAPDL/exdqlm
commit: d8abe7b92690d63c31f0f5b7b998f5aa2db3b8cb
url: https://github.com/AntonioAPDL/exdqlm
date-released: '2026-05-03'
contact:
- family-names: Barata
  given-names: Raquel
  email: raquel.a.barata@gmail.com