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]

fastLink_0.6.1.tar.gz
fastLink_0.6.1.tar.gz(r-4.5-noble)fastLink_0.6.1.tar.gz(r-4.4-noble)
fastLink_0.6.1.tgz(r-4.4-emscripten)fastLink_0.6.1.tgz(r-4.3-emscripten)
fastLink.pdf |fastLink.html
fastLink/json (API)

# Install 'fastLink' in R:
install.packages('fastLink', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

cppopenmp

2.26 score 1 packages 96 scripts 735 downloads 6 mentions 25 exports 33 dependencies

Last updated 1 years agofrom:854eba8c61. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-linux-x86_64OKDec 12 2024

Exports:aggconfusionaggregateEMblockDatacalcMoversPriorsclusterMatchconfusiondedupeMatchesemlinklogemlinkMARmovemlinkRSfastLinkgammaCK2pargammaCKpargammaKpargammaNUMCK2pargammaNUMCKpargetMatchesgetPatternsgetPosteriorinspectEMmatchesLinknameReweightpreprocTextstringSubsettableCounts

Dependencies:adagioclicodetoolsdata.tabledoParalleldplyrfansiforeachgenericsgluegtoolsiteratorslatticelifecyclelpSolvemagrittrMatrixpillarpkgconfigplotrixR6RcppRcppArmadilloRcppEigenrlangstringdiststringistringrtibbletidyselectutf8vctrswithr