generates random numbers from 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

rJ2 function

<dl> <dt>n</dt>
<dd>a number that indicates the number of random values that will by generate from the Jeffrey's distribution.</dd> <dt>matriz</dt>
<dd>a matrix generate by the function tabla of the bayesiantreg package.</dd> <dt>min</dt>
<dd>a number indicatein the minimum number that can be generated from the Jeffrey's distribution.</dd> <dt>max</dt>
<dd>a number indicatein the maximum number that can be generated from the Jeffrey's distribution.</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

random number from the Jeffrey's distribution — rJ2

<dl>

 <dt>n</dt>
<dd>a number that indicates the number of random values that will by generate from the Jeffrey's distribution.</dd>

 <dt>matriz</dt>
<dd>a matrix generate by the function tabla of the bayesiantreg package.</dd>

 <dt>min</dt>
<dd>a number indicatein the minimum number that can be generated from the Jeffrey's distribution.</dd>

 <dt>max</dt>
<dd>a number indicatein the maximum number that can be generated from the Jeffrey's distribution.</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>

rJ2: random number from the Jeffrey's distribution

Description

Usage

Value

Arguments

Author

Details