R: Bayesian t Regression for Modeling Mean and Scale Parameters

# Bayesian t Regression for Modeling Mean and Scale Parameters

## Documentation for package ‘Bayesiantreg’ version 1.0.1

- DESCRIPTION file

## Help Pages

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