Bayesian t Regression for Modeling Mean and Scale Parameters


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Documentation for package ‘Bayesiantreg’ version 1.0

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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