calculates the probability of the Jeffrey's distribution

Bayesian

Metropolis Hastings

Meancovariance modelling

degrees of freedom

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

Margarita Marin

Bayesiantreg

Bayesian t Regression for Modeling Mean and Scale Parameters

pJ2 function

<dl> <dt>gl.ini</dt>
<dd>a vector with the number to evaluate in the density.</dd> <dt>p</dt>
<dd>a number indicating the parameter value for the Jeffrey's prior an the Jeffrey's proposal</dd></dl>

Arguments

Margarita Marin <a href="/link/mmarinj%40unal.edu.co?package=Bayesiantreg&version=1.0.1" data-mini-rdoc="Bayesiantreg::mmarinj@unal.edu.co">mmarinj@unal.edu.co</a>,
 Edilberto Cepeda-Cuervo <a href="/link/ecepedac%40unal.edu.co?package=Bayesiantreg&version=1.0.1" data-mini-rdoc="Bayesiantreg::ecepedac@unal.edu.co">ecepedac@unal.edu.co</a>

Author

density of the Jeffrey's distribution — pJ2

<dl>

 <dt>gl.ini</dt>
<dd>a vector with the number to evaluate in the density.</dd>

 <dt>p</dt>
<dd>a number indicating the parameter value for the Jeffrey's prior an the Jeffrey's proposal</dd>

</dl>

Margarita Marin <a href='mailto:mmarinj@unal.edu.co'>mmarinj@unal.edu.co</a>,
 Edilberto Cepeda-Cuervo <a href='mailto:ecepedac@unal.edu.co'>ecepedac@unal.edu.co</a>

pJ2: density of the Jeffrey's distribution

Description

Usage

Value

Arguments

Author

Details