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RecordLinkage (version 0.4-10)

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

20,085

Version

0.4-10

License

GPL (>= 2)

Homepage

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

Maintainer

Andreas Borg

Last Published

July 27th, 2016

Functions in RecordLinkage (0.4-10)

Weight-based Classification of Data Pairs

Classify record pairs with EpiLink weights

Edit Matching Status

%append%-methods

Concatenate comparison patterns or classification results

Calculate weights

Calculate EpiLink weights

Remove NULL Values

Supervised Classification

Unsupervised Classification

Serialization of record linkage object.

ff_vector-class

Class "ff_vector"

Internal functions and methods

getExpectedSize

Estimate number of record pairs.

Check for FALSE

getFrequencies-methods

Get attribute frequencies

getTable-methods

Build contingency table

getParetoThreshold

Estimate Threshold from Pareto Distribution

getPairsBackend

Backend function for getPairs

Estimate Threshold from Pareto Distribution

Generate Training Set

RLBigData-class

Class "RLBigData"

makeBlockingPairs

Create record pairs from blocks of ids.

Generalized Log-Linear Fitting

RLBigDataDedup-class

Class "RLBigDataDedup"

RecLinkClassif-class

Class "RecLinkClassif"

Mean Residual Life Plot

optimalThreshold

Optimal Threshold for Record Linkage

RecLinkResult-class

Class "RecLinkResult"

Train a Classifier

Show a RLBigData object

Create Unordered Pairs

LaTeX Summary of linkage results

Class "RLResult"

Subset operator for record linkage objects

RLBigDataLinkage-class

Class "RLBigDataLinkage"

getMinimalTrain

Create a minimal training set