polys.setup

This function creates geographic polygons in a format suitable for smoothing.

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

polys.setup function

<dl>
 <dt>object</dt>
<dd>An RDS file object as extracted from http://www.gadm.org.</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>
Thanks to Guy Harling for suggesting the implementation of this function.

Author

This function creates geographic polygons in a format suitable for smoothing.

Set up geographic polygons — polys.setup

<dl>


 <dt>object</dt>
<dd>An RDS file object as extracted from http://www.gadm.org.</dd>




</dl>

Maintainer: Giampiero Marra <a href='mailto:giampiero.marra@ucl.ac.uk'>giampiero.marra@ucl.ac.uk</a>
Thanks to Guy Harling for suggesting the implementation of this function.

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polys.setup: Set up geographic polygons

Description

Usage

Value

Arguments

Author

Examples