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bqmm 0.1.0

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.

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.