rob.int

Tool for tuning bounds of integral in robust GAMLSS.

robust

regression

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

rob.int function

<dl>
 <dt>x</dt>
<dd>A fitted <code>gjrm</code> object, typically from a non-robust fit.</dd>
<dt>rc</dt>
<dd>Robust tuning constant.</dd>
<dt>l.grid</dt>
<dd>Length of grid.</dd>
<dt>tol</dt>
<dd>Tolerance</dd>
<dt>var.range</dt>
<dd>Range of values, min and max, to use in calculations.</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

Tool for tuning bounds of integral in robust GAMLSS.

Tool for tuning bounds of integral in robust models — rob.int

<dl>
 

<dt>x</dt>
<dd>A fitted <code>gjrm</code> object, typically from a non-robust fit.</dd>


<dt>rc</dt>
<dd>Robust tuning constant.</dd>


<dt>l.grid</dt>
<dd>Length of grid.</dd>


<dt>tol</dt>
<dd>Tolerance</dd>


<dt>var.range</dt>
<dd>Range of values, min and max, to use in calculations.</dd>




</dl>

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

rob.int: Tool for tuning bounds of integral in robust models

Description

Usage

Value

Arguments

Author

Details

See Also