print.summary.lphom

Print method for <code>summary.lphom</code> objects

Provides a bunch of algorithms based on linear programming for estimating, under
the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices)
using mainly aggregate data (from voting units).
References:
Pavía and Romero (2024) <doi:10.1177/00491241221092725>.
Pavía and Romero (2024) <doi:10.1093/jrsssa/qnae013>.
Pavía (2023) <doi:10.1007/s43545-023-00658-y>.
Pavía (2024) <doi:10.1080/0022250X.2024.2423943>.
Pavía (2024) <doi:10.1177/07591063241277064>.
Pavía and Penadés (2024). A bottom-up approach for ecological inference.
Romero, Pavía, Martín and Romero (2020) <doi:10.1080/02664763.2020.1804842>.
Acknowledgements:
The authors wish to thank Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257, CIAICO/2023/031) and Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) for supporting this research.

Jose Pavia

lphom

Ecological Inference by Linear Programming under Homogeneity

Jose M. Pavía

Rafael Romero

print.summary.lphom function

<dl><dt>x</dt>
<dd>An <code>summary.lphom</code> class object.</dd>
<dt>...</dt>
<dd>Other arguments passed on to methods. Not currently used.</dd>
<dt>margins</dt>
<dd>A <code>TRUE/FALSE</code> argument informing if the margins of the matrix should be displayed. Default <code>TRUE</code>.</dd>
<dt>digits</dt>
<dd>Integer indicating the number of decimal places to be shown. Default, 2.</dd></dl>

Arguments

Print a summary of a lphom-family object — print.summary.lphom

<dl>

<dt>x</dt>
<dd>An <code>summary.lphom</code> class object.</dd>


<dt>...</dt>
<dd>Other arguments passed on to methods. Not currently used.</dd>


<dt>margins</dt>
<dd>A <code>TRUE/FALSE</code> argument informing if the margins of the matrix should be displayed. Default <code>TRUE</code>.</dd>


<dt>digits</dt>
<dd>Integer indicating the number of decimal places to be shown. Default, 2.</dd>

</dl>

print.summary.lphom: Print a summary of a lphom-family object

Description

Usage

Arguments