R: Bayesian Analysis of Quantile Regression Models

# Bayesian Analysis of Quantile Regression Models

## Documentation for package ‘Brq’ version 3.0

- DESCRIPTION file

## Help Pages

BALqr | Bayesian adaptive Lasso quantile regression
BALtqr | Bayesian adaptive Lasso tobit quantile regression
BBqr | Bayesian Binary Quantile Regression
BLBqr | Bayesian Lasso Binary quantile regression
BLqr | Bayesian Lasso quantile regression
BLtqr | Bayesian tobit quantile regression
Body | Exploring Relationships in Body Dimensions
Bqr | Bayesian Quantile Regression
Brq | Bayesian Quantile Regression
Brq.default | Bayesian Quantile Regression
Brq.formula | Bayesian Quantile Regression
Btqr | Bayesian tobit quantile regression
DIC | Estimate Deviance Information Criterion (DIC)
ImmunogG | Immunoglobulin G Data
model | Model selection based on credible intervals
plot.Brq | Produce the histogram, autocorrelation and trace plots for the objects of 'Brq' function
print.Brq | Print the Bayesian quantile regression methods
print.summary.Brq | Print the summary of Bayesian quantile regression methods.
Prostate | Prostate Cancer Data
salary | Salaries of 459 US statistics professor data
summary.Brq | Summarize the output of the 'Brq' function
USgirl | Weight and age for a sample of 4011 US girl data
wheat | Wheat Data