automatedRecLin
Record Linkage Based on an Entropy-Maximizing Classifier
The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm, Vo et al. (2023) https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html, Sugiyama et al. (2008) doi:10.1007/s10463-008-0197-x.
- Version1.0.0
- R version≥ 4.1.0
- LicenseGPL-3
- Needs compilation?No
- Last releaselast Tuesday at 12:00 AM
Documentation
Team
Adam Struzik
MaintainerShow author detailsMaciej Beręsewicz
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN