plot.smoothing_fitsae

The <code><a href="/link/plot()?package=tipsae&version=1.0.3" data-mini-rdoc="tipsae::plot()">plot()</a></code> method provides (a) the boxplot of variance estimates, when effective sample sizes are estimated through <code>kish</code> method; (b) a scatterplot of both original and smoothed estimates versus the area sample sizes, when variance smoothing is performed through methods <code>ols</code> and <code>gls</code>.

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

plot.smoothing_fitsae function

<dl><dt>x</dt>
<dd>A <code>smoothing_fitsae</code> object.</dd>
<dt>size</dt>
<dd>Aesthetic option denoting the size of scatterplots points, see <code><a href="https://ggplot2.tidyverse.org/reference/geom_point.html">geom_point</a></code> documentation.</dd>
<dt>alpha</dt>
<dd>Aesthetic option denoting the opacity of scatterplots points, see <code><a href="https://ggplot2.tidyverse.org/reference/geom_point.html">geom_point</a></code> documentation.</dd>
<dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

The <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code> method provides (a) the boxplot of variance estimates, when effective sample sizes are estimated through <code>kish</code> method; (b) a scatterplot of both original and smoothed estimates versus the area sample sizes, when variance smoothing is performed through methods <code>ols</code> and <code>gls</code>.

Plot Method for smoothing_fitsae Object — plot.smoothing_fitsae

<dl>

<dt>x</dt>
<dd>A <code>smoothing_fitsae</code> object.</dd>


<dt>size</dt>
<dd>Aesthetic option denoting the size of scatterplots points, see <code><a href='https://ggplot2.tidyverse.org/reference/geom_point.html'>geom_point</a></code> documentation.</dd>


<dt>alpha</dt>
<dd>Aesthetic option denoting the opacity of scatterplots points, see <code><a href='https://ggplot2.tidyverse.org/reference/geom_point.html'>geom_point</a></code> documentation.</dd>


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

</dl>

plot.smoothing_fitsae: Plot Method for `smoothing_fitsae` Object

Description

Usage

Value

Arguments

See Also

Examples