weighted_median

Calculates weighted median based on <code>weighted_quantile()</code>.

Provides weighted versions of several metrics and performance
measures used in machine learning, including average unit deviances of
the Bernoulli, Tweedie, Poisson, and Gamma distributions, see
Jorgensen B. (1997, ISBN: 978-0412997112).  The package also contains
a weighted version of generalized R-squared, see e.g. Cohen, J. et al.
(2002, ISBN: 978-0805822236).  Furthermore, 'dplyr' chains are
supported.

Michael Mayer

MetricsWeighted

Weighted Metrics and Performance Measures for Machine Learning

Christian Lorentzen

weighted_median function

<dl><dt>x</dt>
<dd>Numeric vector.</dd>
<dt>w</dt>
<dd>Optional vector of non-negative case weights.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code>weighted_quantile()</code>.</dd></dl>

Arguments

Weighted Median — weighted_median

<dl>

<dt>x</dt>
<dd>Numeric vector.</dd>


<dt>w</dt>
<dd>Optional vector of non-negative case weights.</dd>


<dt>...</dt>
<dd>Further arguments passed to <code>weighted_quantile()</code>.</dd>

</dl>

weighted_median: Weighted Median

Description

Usage

Value

Arguments

See Also

Examples