plotMRL

Create mean residual life statistics for classification based on extreme
 value theory.

internal

Provides functions for linking and deduplicating data sets.
Methods based on a stochastic approach are implemented as well as
classification algorithms from the machine learning domain. For details,
see our paper "The RecordLinkage Package: Detecting Errors in Data"
Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.

Murat Sariyar Developer

RecordLinkage

Record Linkage Functions for Linking and Deduplicating Data Sets

Murat Sariyar

Andreas Borg

mrl function

<dl> <dt>data</dt>
<dd>A numerical vector, representing weights in the context of Record Linkage.</dd> <dt>umin, umax</dt>
<dd>The minimum and maximum thresholds at which the mean residual life function is calculated.</dd> <dt>nint</dt>
<dd>The number of points at which the mean residual life function is calculated.</dd> <dt>rpairs</dt>
<dd>A <code>RecLinkData</code> object with assigned weights.</dd> <dt>l</dt>
<dd>A list with components <code>x</code> and <code>y</code> representing MRL statistics
 as returned by <code>mrl</code>.</dd></dl>

Arguments

Mean Residual Life Plot — mrl

<dl>

 <dt>data</dt>
<dd>A numerical vector, representing weights in the context of Record Linkage.</dd>

 <dt>umin, umax</dt>
<dd>The minimum and maximum thresholds at which the mean residual life function is calculated.</dd>

 <dt>nint</dt>
<dd>The number of points at which the mean residual life function is calculated.</dd>

 <dt>rpairs</dt>
<dd>A <code>RecLinkData</code> object with assigned weights.</dd>

 <dt>l</dt>
<dd>A list with components <code>x</code> and <code>y</code> representing MRL statistics
 as returned by <code>mrl</code>.</dd>

</dl>

mrl: Mean Residual Life Plot

Description

Usage

Value

Arguments

Details

See Also