Record Linkage Based on an Entropy-Maximizing Classifier
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Documentation for package ‘automatedRecLin’ version 1.1.0
Help Pages
| abs_distance | Absolute Distance Comparison Function |
| A_example | A_example dataset |
| B_example | B_example dataset |
| census | Fictional census data |
| cis | Fictional customer data |
| comparison_vectors | Create Comparison Vectors for Record Linkage |
| control_kliep | Controls for the kliep() Function |
| custom_rec_lin_model | Create a Custom Record Linkage Model |
| est_se_bootstrap | Parametric Bootstrap for Standard Error Estimation in MEC |
| jarowinkler_complement | Jaro-Winkler Distance |
| mec | Unsupervised Maximum Entropy Classifier for Record Linkage |
| mec_blocking | Blocked Unsupervised Maximum Entropy Classifier for Record Linkage |
| predict.rec_lin_model | Predict Matches Based on a Given Record Linkage Model |
| train_rec_lin | Train a Record Linkage Model |