rob.const

It helps finding the robust constant for a 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.const function

<dl>
 <dt>x</dt>
<dd>A fitted <code>gjrm</code> object.</dd>
<dt>B</dt>
<dd>Number of bootstrap replicates.</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

It helps finding the robust constant for a GAMLSS.

Bootstrap procedure to help select the robust constant in a GAMLSS — rob.const

<dl>
 

<dt>x</dt>
<dd>A fitted <code>gjrm</code> object.</dd>


<dt>B</dt>
<dd>Number of bootstrap replicates.</dd>


</dl>

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

rob.const: Bootstrap procedure to help select the robust constant in a GAMLSS

Description

Usage

Value

Arguments

Author

Details

See Also