Man pages for rijpma/capelinker
Machine Learning-based Record Linkage for Historical South Africa
| candidates | Create candidate links from two datasets. |
| conf2tex | print a confusion matrix as tex |
| distcalc | Calculate distances between character and numeric variables |
| expand_index | Supplement an existing linking index with new links. |
| gk | Two dimensional Gaussian kernel |
| initials | Create initials from a string containing names |
| label | Manually label data |
| len_longest_word | character length of a the longest word in a string |
| predict_links | Predict links |
| preflight | Check whether dataset is ready for linkage |
| rand_strings_like | Generate random strings resembling old strings |
| rm_diacretics | Remove diacretics from letters |
| split_prefixes | Split out prefixes from surname strings |
| stringdist_closest | Calculate closets string distance to another string in a... |
| uniformise_string | Uniformise strings |
| xgbm_ff | xgb.DMatrix from dataframe and formula |
