Man pages for Bayesiantreg
Bayesian t Regression for Modeling Mean and Scale Parameters
| Bayesiantreg | Bayesiantreg |
| BayesiantregEst | Bayesian t regression |
| Bayesiantreg-package | Function to do Bayesian t Regression: joint mean and variance... |
| 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... |
| 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... |
| 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 |
