Changes in version 0.1.0 (2026-07-10)                  

First release.

  - bqmm() — Bayesian mixed-effects quantile regression via the
    asymmetric Laplace likelihood and Stan, with an lme4-style formula
    interface (y ~ x + (1 + x | group)) supporting nested and crossed
    random effects.
  - cov = "diagonal" (default) or cov = "unstructured" — the latter adds
    LKJ-correlated random effects for a single grouping factor;
    VarCorr() reports the posterior-median correlation matrix.
  - Fitting one or several quantiles in a single call (a vector tau).
  - Post-hoc non-crossing rearrangement of fitted quantiles
    (Chernozhukov, Fernandez-Val and Galichon, 2010).
  - Yang, Wang and He (2016) posterior-variance correction for valid
    frequentist inference, exposed through vcov(object, adjusted =
    TRUE).
  - lme4/rstanarm-style S3 methods and integration with the posterior
    and bayesplot ecosystems.