print.benchmark_fitsae

The generic method <code><a href="/link/print()?package=tipsae&version=1.0.3" data-mini-rdoc="tipsae::print()">print()</a></code> allow to explore relevant outputs of the input object

It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).

Silvia De Nicolò

tipsae

Tools for Handling Indices and Proportions in Small Area
Estimation

Aldo Gardini

print.benchmark_fitsae function

<dl><dt>x</dt>
<dd>Object of class <code>benchmark_fitsae</code>.</dd>
<dt>digits</dt>
<dd>Number of digits to display.</dd>
<dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

The generic method <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code> allow to explore relevant outputs of the input object

Print Method for a benchmark_fitsae Object — print.benchmark_fitsae

<dl>

<dt>x</dt>
<dd>Object of class <code>benchmark_fitsae</code>.</dd>


<dt>digits</dt>
<dd>Number of digits to display.</dd>


<dt>...</dt>
<dd>Currently unused.</dd>

</dl>

print.benchmark_fitsae: Print Method for a `benchmark_fitsae` Object

Description

Usage

Value

Arguments