plot.kdeAlgo

Plots the estimated density of the interval-censored variable.
Also, convergence plots are given for all estimated statistical indicators.
The estimated indicator is plotted for each iteration step of the KDE-algorithm.
Furthermore, the average up to iteration step M is plotted (without the burn-in
iterations). A vertical line indicates the end of the burn-in period.
A horizontal line marks the value of the estimated statistical indicator

Functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).

Paul Walter

smicd

Statistical Methods for Interval-Censored Data

plot.kdeAlgo function

<dl><dt>x</dt>
<dd>an object of type "kdeAlgo", typical result of <code>kdeAlgo</code></dd>
<dt>indicator</dt>
<dd>a vector of indicator names specifying for which indicators
convergence plots are plotted, e.g. <code>c("mean", "gini")</code></dd>
<dt>...</dt>
<dd>optional arguments passed to generic function.</dd></dl>

Arguments

Plot Diagnostics for a kdeAlgo Object — plot.kdeAlgo

<dl>

<dt>x</dt>
<dd>an object of type "kdeAlgo", typical result of <code>kdeAlgo</code></dd>


<dt>indicator</dt>
<dd>a vector of indicator names specifying for which indicators
convergence plots are plotted, e.g. <code>c("mean", "gini")</code></dd>


<dt>...</dt>
<dd>optional arguments passed to generic function.</dd>

</dl>

plot.kdeAlgo: Plot Diagnostics for a kdeAlgo Object

Description

Usage

Value

Arguments

See Also