k.tau

<code>k.tau</code> can be used to calculate the Kendall's tau from a fitted joint model with intervals obtained 
via posterior simulation.

copula

bayesian posterior simulation

marginal distribution

generalised joint regression modelling

Kendall's tau

Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association.

Giampiero Marra

GJRM

Generalised Joint Regression Modelling

Rosalba Radice

k.tau function

<dl>
 <dt>x</dt>
<dd>A fitted <code>gjrm</code> object as 
 produced by the respective fitting function.</dd>
<dt>prob.lev</dt>
<dd>Overall probability of the left and right tails of the probabilities' distributions used for interval calculations.</dd>
 
 
</dl>

Arguments

Maintainer: Giampiero Marra <a href="/link/giampiero.marra%40ucl.ac.uk?package=GJRM&version=0.2-6.8" data-mini-rdoc="GJRM::giampiero.marra@ucl.ac.uk">giampiero.marra@ucl.ac.uk</a>

Author

Kendall's tau a fitted joint model — k.tau

<dl>
 

<dt>x</dt>
<dd>A fitted <code>gjrm</code> object as 
 produced by the respective fitting function.</dd>


<dt>prob.lev</dt>
<dd>Overall probability of the left and right tails of the probabilities' distributions used for interval calculations.</dd>
 
 
</dl>

Maintainer: Giampiero Marra <a href='mailto:giampiero.marra@ucl.ac.uk'>giampiero.marra@ucl.ac.uk</a>

k.tau: Kendall's tau a fitted joint model

Description

Usage

Value

Arguments

Author

Details

See Also