R: Bayesian Multilevel Quantile Regression

# Bayesian Multilevel Quantile Regression

## Documentation for package ‘bqmm’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

ald | The asymmetric Laplace family for quantile regression
as.matrix.bqmm | Coerce a bqmm fit to a matrix of posterior draws
as_draws.bqmm | Convert a bqmm fit to a posterior draws object
bqmm | Bayesian multilevel quantile regression
bqmm_prior | Priors for a Bayesian quantile mixed model
coef.bqmm | Extract model coefficients
coef.bqmm_multi | Coefficient-versus-tau matrix for a bqmm_multi fit
confint.bqmm | Confidence (credible) intervals for the fixed effects
fitted.bqmm | Linear predictor (conditional tau-quantile) at the posterior median
fixef.bqmm | Posterior-median fixed effects
log_lik.bqmm | Pointwise log-likelihood draws
nobs.bqmm | Number of observations used in the fit
plot.bqmm | Plot a bqmm fit
plot.bqmm_multi | Plot coefficient-versus-tau paths for a bqmm_multi fit
posterior_epred.bqmm | Draws of the expected response (conditional tau-quantile)
posterior_predict.bqmm | Draws from the posterior predictive distribution
predict.bqmm | Predictions from a bqmm fit
ranef.bqmm | Posterior-median random effects
rearrange_quantiles | Rearrange fitted quantiles to remove crossing
residuals.bqmm | Residuals from a bqmm fit
summary.bqmm | Summarize a bqmm fit
summary.bqmm_multi | Summarize a bqmm_multi fit
VarCorr.bqmm | Random-effect standard deviations and correlations
vcov.bqmm | Variance-covariance of the fixed effects