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RecordLinkage (version 0.4-7)

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

0.4-7

License

GPL (>= 2)

Homepage

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

Maintainer

Andreas Borg

Last Published

January 15th, 2015

Functions in RecordLinkage (0.4-7)

getParetoThreshold

Estimate Threshold from Pareto Distribution

Estimate Threshold from Pareto Distribution

Create Unordered Pairs

RLBigDataLinkage-class

Class "RLBigDataLinkage"

Classify record pairs with EpiLink weights

Generate Training Set

getExpectedSize

Estimate number of record pairs.

Train a Classifier

Calculate weights

getTable-methods

Build contingency table

Subset operator for record linkage objects

Weight-based Classification of Data Pairs

RecLinkResult-class

Class "RecLinkResult"

Check for FALSE

getFrequencies-methods

Get attribute frequencies

ff_vector-class

Class "ff_vector"

%append%-methods

Concatenate comparison patterns or classification results

RecLinkClassif-class

Class "RecLinkClassif"

Class "RLResult"

Generalized Log-Linear Fitting

getMinimalTrain

Create a minimal training set

makeBlockingPairs

Create record pairs from blocks of ids.

Mean Residual Life Plot

Supervised Classification

RLBigData-class

Class "RLBigData"

Unsupervised Classification

Show a RLBigData object

Serialization of record linkage object.

optimalThreshold

Optimal Threshold for Record Linkage

Remove NULL Values

getPairsBackend

Backend function for getPairs

LaTeX Summary of linkage results

Internal functions and methods

RLBigDataDedup-class

Class "RLBigDataDedup"

Edit Matching Status

Calculate EpiLink weights