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RecordLinkage (version 0.4-8)

Record Linkage in R

Description

Provides functions for linking and de-duplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain.

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Version

Install

install.packages('RecordLinkage')

Monthly Downloads

2,587

Version

0.4-8

License

GPL (>= 2)

Homepage

https://r-forge.r-project.org/projects/recordlinkage/

Maintainer

Andreas Borg

Last Published

May 28th, 2015

Functions in RecordLinkage (0.4-8)

Class "RLResult"

Internal functions and methods

getPairsBackend

Backend function for getPairs

getExpectedSize

Estimate number of record pairs.

getParetoThreshold

Estimate Threshold from Pareto Distribution

Classify record pairs with EpiLink weights

Generate Training Set

Estimate Threshold from Pareto Distribution

Train a Classifier

Remove NULL Values

RLBigDataDedup-class

Class "RLBigDataDedup"

Serialization of record linkage object.

RLBigData-class

Class "RLBigData"

Create Unordered Pairs

RecLinkResult-class

Class "RecLinkResult"

Subset operator for record linkage objects

Check for FALSE

makeBlockingPairs

Create record pairs from blocks of ids.

Unsupervised Classification

Show a RLBigData object

RecLinkClassif-class

Class "RecLinkClassif"

ff_vector-class

Class "ff_vector"

LaTeX Summary of linkage results

Weight-based Classification of Data Pairs

Calculate weights

%append%-methods

Concatenate comparison patterns or classification results

getMinimalTrain

Create a minimal training set

Generalized Log-Linear Fitting

Mean Residual Life Plot

Edit Matching Status

RLBigDataLinkage-class

Class "RLBigDataLinkage"

getTable-methods

Build contingency table

Supervised Classification

getFrequencies-methods

Get attribute frequencies

Calculate EpiLink weights

optimalThreshold

Optimal Threshold for Record Linkage