create_univariate_plot

Scatterplot of individual values and density ratio estimates. Used internally in <code>create_univariate_plot()</code>

Fast, flexible and user-friendly tools for distribution comparison
through direct density ratio estimation. The estimated density ratio can be
used for covariate shift adjustment, outlier-detection, change-point detection,
classification and evaluation of synthetic data quality. The package implements
multiple non-parametric estimation techniques (unconstrained least-squares
importance fitting, ulsif(), Kullback-Leibler importance estimation procedure,
kliep(), spectral density ratio estimation, spectral(), kernel mean matching,
kmm(), and least-squares hetero-distributional subspace search, lhss()).
with automatic tuning of hyperparameters. Helper functions are available for
two-sample testing and visualizing the density ratios. For an overview on
density ratio estimation, see Sugiyama et al. (2012) <doi:10.1017/CBO9781139035613>
for a general overview, and the help files for references on the specific
estimation techniques.

Thom Volker

densityratio

Distribution Comparison Through Density Ratio Estimation

Carlos Gonzalez Poses

Erik-Jan van Kesteren

create_univariate_plot function

<dl><dt>data</dt>
<dd>Data frame with the individual values and density ratio estimates</dd>
<dt>ext</dt>
<dd>Data frame with the density ratio estimates and sample indicator</dd>
<dt>var</dt>
<dd>Name of the variable to be plotted on the x-axis</dd>
<dt>y_lab</dt>
<dd>Name of the y-axis label, typically ("Density Ratio" or "Log Density Ratio")</dd>
<dt>sample.facet</dt>
<dd>Logical indicating whether to facet the plot by sample. Default is TRUE.</dd></dl>

Arguments

Univariate plot — create_univariate_plot

<dl>

<dt>data</dt>
<dd>Data frame with the individual values and density ratio estimates</dd>


<dt>ext</dt>
<dd>Data frame with the density ratio estimates and sample indicator</dd>


<dt>var</dt>
<dd>Name of the variable to be plotted on the x-axis</dd>


<dt>y_lab</dt>
<dd>Name of the y-axis label, typically ("Density Ratio" or "Log Density Ratio")</dd>


<dt>sample.facet</dt>
<dd>Logical indicating whether to facet the plot by sample. Default is TRUE.</dd>

</dl>

create_univariate_plot: Univariate plot

Description

Usage

Value

Arguments