Bayesian t Regression for Modeling Mean and Scale Parameters

Documentation for package ‘Bayesiantreg’ version 1.0.1

Bayesiantreg-package	Function to do Bayesian t Regression: joint mean and variance modeling and estimation of the degrees of freedom
Bayesiantreg	Bayesiantreg
BayesiantregEst	Bayesian t regression
criteria	criteria for comparison the bayesian t regression models
devero	Loglikelihood for every point of the t model
dJ2	density of the Jeffrey's distribution
dpostb	Posterior value of beta
dpostg	Posterior density of gamma
gammakernel	the probability of a gamma parameter from the probability density funcion defined by old parameters.
gammaproposal	A proposal for gamma parameters
glpost	Posterior value of the degrees of freedom
glproposal	A proposal for degrees of freedom parameter
mukernel	the probability of a beta parameter from the probability density funcion defined by old parameters
muproposal	A proposal for beta parameter
pJ2	density of the Jeffrey's distribution
print.summary.Bayesiantreg	print the summary of the Bayesian t regression
rJ2	random number from the Jeffrey's distribution
summary.Bayesiantreg	summary of the Bayesian t regression
tabla	probabilities and numbers from the Jeffrey's distribution
vero	Loglikelihood for the t model