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RecordLinkage (version 0.4-11)

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

15,719

Version

0.4-11

License

GPL (>= 2)

Maintainer

Andreas Borg

Last Published

March 14th, 2019

Functions in RecordLinkage (0.4-11)

getExpectedSize

Estimate number of record pairs.
epiClassify

Classify record pairs with EpiLink weights
isFALSE

Check for FALSE
makeBlockingPairs

Create record pairs from blocks of ids.
texSummary

LaTeX Summary of linkage results
trainSupv

Train a Classifier
getFrequencies-methods

Get attribute frequencies
emClassify

Weight-based Classification of Data Pairs
genSamples

Generate Training Set
ff_vector-class

Class "ff_vector"
epiWeights

Calculate EpiLink weights
mygllm

Generalized Log-Linear Fitting
deleteNULLs

Remove NULL Values
mrl

Mean Residual Life Plot
splitData

Split Data
classifySupv

Supervised Classification
editMatch

Edit Matching Status
getTable-methods

Build contingency table
getParetoThreshold

Estimate Threshold from Pareto Distribution
gpdEst

Estimate Threshold from Pareto Distribution
internals

Internal functions and methods
resample

Safe Sampling
show

Show a RLBigData object
subset

Subset operator for record linkage objects
optimalThreshold

Optimal Threshold for Record Linkage
emWeights

Calculate weights
getMinimalTrain

Create a minimal training set
getPairsBackend

Backend function for getPairs
unorderedPairs

Create Unordered Pairs
phonetics

Phonetic Code
classifyUnsup

Unsupervised Classification
clone

Serialization of record linkage object.
RecLinkClassif-class

Class "RecLinkClassif"
RecLinkResult-class

Class "RecLinkResult"
RLBigData-class

Class "RLBigData"
RLBigDataDedup-class

Class "RLBigDataDedup"
%append%-methods

Concatenate comparison patterns or classification results
RLBigDataLinkage-class

Class "RLBigDataLinkage"
RLResult-class

Class "RLResult"