Bayesiantreg            Bayesiantreg
Bayesiantreg-package    Function to do Bayesian t Regression: joint
                        mean and variance modeling and estimation of
                        the degrees of freedom
BayesiantregEst         Bayesian t regression
criteria                criteria for comparison the bayesian t
                        regression models
dJ2                     density of the Jeffrey's distribution
devero                  Loglikelihood for every point of the t model
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
