print.SemiParBIV

The print method for a <code>SemiParBIV</code> object.

generalised joint regression modelling

Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.

Giampiero Marra

GJRM

Generalised Joint Regression Modelling

print.SemiParBIV function

<dl>
 
<dt>x</dt>
<dd><code>SemiParBIV</code> object.</dd>
<dt>...</dt>
<dd>Other arguments.</dd>
</dl>

Arguments

Maintainer: Giampiero Marra <a href="/link/giampiero.marra%40ucl.ac.uk?package=GJRM&version=0.2-6.5" data-mini-rdoc="GJRM::giampiero.marra@ucl.ac.uk">giampiero.marra@ucl.ac.uk</a>

Author

Print a SemiParBIV object — print.SemiParBIV

<dl>
 


<dt>x</dt>
<dd><code>SemiParBIV</code> object.</dd>


<dt>...</dt>
<dd>Other arguments.</dd>


</dl>

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

print.SemiParBIV: Print a SemiParBIV object

Description

Usage

Arguments

Author

Details