Package: fastLink 0.6.1

Ted Enamorado

fastLink: Fast Probabilistic Record Linkage with Missing Data

Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information. This includes functionalities to conduct a merge of two datasets under the Fellegi-Sunter model using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting, and summarizing data merges are included. The package implements methods described in Enamorado, Fifield, and Imai (2019) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'' <doi:10.1017/S0003055418000783> and is available at <https://imai.fas.harvard.edu/research/linkage.html>.

Authors:Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]

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Peer review:

Bug tracker:https://github.com/kosukeimai/fastlink/issues

On CRAN:

25 exports 258 stars 6.08 score 33 dependencies 1 dependents 6 mentions 87 scripts 620 downloads

Last updated 10 months agofrom:da2e889448. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:aggconfusionaggregateEMblockDatacalcMoversPriorsclusterMatchconfusiondedupeMatchesemlinklogemlinkMARmovemlinkRSfastLinkgammaCK2pargammaCKpargammaKpargammaNUMCK2pargammaNUMCKpargetMatchesgetPatternsgetPosteriorinspectEMmatchesLinknameReweightpreprocTextstringSubsettableCounts

Dependencies:adagioclicodetoolsdata.tabledoParalleldplyrfansiforeachgenericsgluegtoolsiteratorslatticelifecyclelpSolvemagrittrMatrixpillarpkgconfigplotrixR6RcppRcppArmadilloRcppEigenrlangstringdiststringistringrtibbletidyselectutf8vctrswithr