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Brq (version 3.0)

Bayesian Analysis of Quantile Regression Models

Description

Bayesian estimation and variable selection for quantile regression models.

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Version

Install

install.packages('Brq')

Monthly Downloads

279

Version

3.0

License

GPL (>= 3)

Maintainer

Rahim Alhamzawi

Last Published

May 30th, 2020

Functions in Brq (3.0)

Btqr

Bayesian tobit quantile regression
DIC

Estimate Deviance Information Criterion (DIC)
BALtqr

Bayesian adaptive Lasso tobit quantile regression
BLtqr

Bayesian tobit quantile regression
wheat

Wheat Data
summary.Brq

Summarize the output of the Brq function
BALqr

Bayesian adaptive Lasso quantile regression
plot.Brq

Produce the histogram, autocorrelation and trace plots for the objects of Brq function
BLqr

Bayesian Lasso quantile regression
print.Brq

Print the Bayesian quantile regression methods
USgirl

Weight and age for a sample of 4011 US girl data
model

Model selection based on credible intervals
salary

Salaries of 459 US statistics professor data
ImmunogG

Immunoglobulin G Data
Bqr

Bayesian Quantile Regression
Prostate

Prostate Cancer Data
BBqr

Bayesian Binary Quantile Regression
Body

Exploring Relationships in Body Dimensions
print.summary.Brq

Print the summary of Bayesian quantile regression methods.
BLBqr

Bayesian Lasso Binary quantile regression