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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) <doi:10.1214/21-AOAS1497>.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.5) |
| Imports: | stats, methods, graphics, coda, tictoc, magic, crch, truncnorm, FNN, LaplacesDemon, grDevices, Rcpp, matrixStats, nimble, numDeriv |
| LinkingTo: | BH, Rcpp, RcppArmadillo, RcppEigen |
| Suggests: | rmarkdown, testthat (≥ 3.0.0), ggplot2, pkgload, MASS |
| Published: | 2026-05-04 |
| DOI: | 10.32614/CRAN.package.exdqlm |
| Author: | Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut] |
| Maintainer: | Raquel Barata <raquel.a.barata at gmail.com> |
| BugReports: | https://github.com/AntonioAPDL/exdqlm/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/AntonioAPDL/exdqlm |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17; OpenMP (optional) |
| Materials: | README, NEWS |
| CRAN checks: | exdqlm results |
| Reference manual: | exdqlm.html , exdqlm.pdf |
| Package source: | exdqlm_0.4.0.tar.gz |
| Windows binaries: | r-devel: exdqlm_0.4.0.zip, r-release: exdqlm_0.4.0.zip, r-oldrel: exdqlm_0.4.0.zip |
| macOS binaries: | r-release (arm64): exdqlm_0.4.0.tgz, r-oldrel (arm64): exdqlm_0.4.0.tgz, r-release (x86_64): exdqlm_0.4.0.tgz, r-oldrel (x86_64): exdqlm_0.4.0.tgz |
| Old sources: | exdqlm archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.