escore

Calculate the energy distance score measuring the statistical
discrepancy between samples <code>x</code> and <code>y</code> from two multivariate
distributions.

Calibrate and apply multivariate bias correction algorithms
for climate model simulations of multiple climate variables. Three methods
described by Cannon (2016) <doi:10.1175/JCLI-D-15-0679.1> and
Cannon (2018) <doi:10.1007/s00382-017-3580-6> are implemented —
(i) MBC Pearson correlation (MBCp), (ii) MBC rank correlation (MBCr),
and (iii) MBC N-dimensional PDF transform (MBCn) — as is the Rank
Resampling for Distributions and Dependences (R2D2) method.

Alex Cannon

Multivariate Bias Correction of Climate Model Outputs

Alex J. Cannon

escore function

<dl> <dt>x</dt>
<dd>numeric matrix.</dd> <dt>y</dt>
<dd>numeric matrix.</dd> <dt>scale.x</dt>
<dd>logical indicating whether data should be standardized based on <code>x</code>.</dd> <dt>n.cases</dt>
<dd>the number of sub-sampled cases; <code>NULL</code> uses all data.</dd> <dt>alpha</dt>
<dd>distance exponent in (0,2]</dd> <dt>method</dt>
<dd>method used to weight the statistics</dd></dl>

Arguments

Energy distance score — escore

<dl>

 <dt>x</dt>
<dd>numeric matrix.</dd>

 <dt>y</dt>
<dd>numeric matrix.</dd>

 <dt>scale.x</dt>
<dd>logical indicating whether data should be standardized based on <code>x</code>.</dd>

 <dt>n.cases</dt>
<dd>the number of sub-sampled cases; <code>NULL</code> uses all data.</dd>

 <dt>alpha</dt>
<dd>distance exponent in (0,2]</dd>

 <dt>method</dt>
<dd>method used to weight the statistics</dd>

</dl>

escore: Energy distance score

Description

Usage

Arguments

References