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RecordLinkage (version 0.3-5)

Record Linkage in R

Description

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

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Version

Install

install.packages('RecordLinkage')

Monthly Downloads

16,659

Version

0.3-5

License

GPL (>= 2)

Maintainer

Murat Sariyar

Last Published

September 12th, 2011

Functions in RecordLinkage (0.3-5)

RLBigDataLinkage-class

Class "RLBigDataLinkage"
RecLinkResult-class

Class "RecLinkResult"
RecLinkResult.object

Record Linkage Result Object
RecLinkData-class

Class "RecLinkData"
emClassify

Weight-based Classification of Data Pairs
getExpectedSize

Estimate number of record pairs.
getPairs

Extract Record Pairs
epiWeights

Calculate EpiLink weights
getTable-methods

Build contingency table
getErrorMeasures-methods

Calculate Error Measures
getFrequencies-methods

Get attribute frequencies
splitData

Split Data
mrl

Mean Residual Life Plot
gpdEst

Estimate Threshold from Pareto Distribution
trainSupv

Train a Classifier
summary

Print Summary of Record Linkage Data
resample

Safe Sampling
phonetics

Phonetic Code
editMatch

Edit Matching Status
makeBlockingPairs

Create record pairs from blocks of ids.
show

Show a RLBigData object
compare

Compare Records
RLBigDataDedup

Constructors for big data objects.
%append%-methods

Concatenate comparison patterns or classification results
texSummary

LaTeX Summary of linkage results
RLResult-class

Class "RLResult"
unorderedPairs

Create Unordered Pairs
classifySupv

Supervised Classification
RecLinkClassif-class

Class "RecLinkClassif"
summary.RLBigData

summary methods for "RLBigData" objects.
RLBigDataDedup-class

Class "RLBigDataDedup"
RLBigData-class

Class "RLBigData"
RLdata

Test data for Record Linkage
summary.RLResult

Summary method for "RLResult" objects.
delete.NULLs

Remove NULL Values
emWeights

Calculate weights
classifyUnsup

Unsupervised Classification
epiClassify

Classify record pairs with EpiLink weights
clone

Serialization of record linkage object.
genSamples

Generate Training Set
getParetoThreshold

Estimate Threshold from Pareto Distribution
getPairsBackend

Backend function for getPairs
isFALSE

Check for FALSE
internals

Internal functions and methods
RecLinkData.object

Record Linkage Data Object
mygllm

Generalized Log-Linear Fitting
optimalThreshold

Optimal Threshold for Record Linkage
stochastic

Stochastic record linkage.
getMinimalTrain

Create a minimal training set
subset

Subset operator for record linkage objects
strcmp

String Metrics