RDocumentation
Moon
Learn R
Search all packages and functions
Brq (version 3.0)
Bayesian Analysis of Quantile Regression Models
Description
Bayesian estimation and variable selection for quantile regression models.
Copy Link
Copy
Link to current version
Version
Version
3.0
2.5
2.4
2.3
2.2
2.1
2.0
Down Chevron
Install
install.packages('Brq')
Monthly Downloads
348
Version
3.0
License
GPL (>= 3)
Maintainer
Rahim Alhamzawi
Last Published
May 30th, 2020
Functions in Brq (3.0)
Search functions
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