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Bayesiantreg (version 1.0.1)

Bayesian t Regression for Modeling Mean and Scale Parameters

Description

Performs Bayesian t Regression where mean and scale parameters are modeling by lineal regression structures, and the degrees of freedom parameters are estimated.

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Version

Install

install.packages('Bayesiantreg')

Monthly Downloads

253

Version

1.0.1

License

GPL (>= 2)

Maintainer

Margarita Marin

Last Published

December 14th, 2023

Functions in Bayesiantreg (1.0.1)

print.summary.Bayesiantreg

print the summary of the Bayesian t regression
dJ2

density of the Jeffrey's distribution
gammakernel

the probability of a gamma parameter from the probability density funcion defined by old parameters.
BayesiantregEst

Bayesian t regression
criteria

criteria for comparison the bayesian t regression models
Bayesiantreg-package

Function to do Bayesian t Regression: joint mean and variance modeling and estimation of the degrees of freedom
devero

Loglikelihood for every point of the t model
gammaproposal

A proposal for gamma parameters
rJ2

random number from the Jeffrey's distribution
summary.Bayesiantreg

summary of the Bayesian t regression
Bayesiantreg

Bayesiantreg
pJ2

density of the Jeffrey's distribution
glpost

Posterior value of the degrees of freedom
dpostb

Posterior value of beta
glproposal

A proposal for degrees of freedom parameter
mukernel

the probability of a beta parameter from the probability density funcion defined by old parameters
dpostg

Posterior density of gamma
tabla

probabilities and numbers from the Jeffrey's distribution
vero

Loglikelihood for the t model
muproposal

A proposal for beta parameter