Package: representr 0.1.5
Andee Kaplan
representr: Create Representative Records After Entity Resolution
An implementation of Kaplan, Betancourt, Steorts (2022) <doi:10.1080/00031305.2022.2041482> that creates representative records for use in downstream tasks after entity resolution is performed. Multiple methods for creating the representative records (data sets) are provided.
Authors:
representr_0.1.5.tar.gz
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representr.pdf |representr.html✨
representr/json (API)
NEWS
| # Install 'representr' in R: |
| install.packages('representr', repos = c('https://cleanzr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cleanzr/representr/issues
- identity.rl_reg1 - 500 records suitable for record linkage with additional regression variables
- identity.rl_reg2 - 500 records suitable for record linkage with additional regression variables
- identity.rl_reg5 - 500 records suitable for record linkage with additional regression variables
- linkage.rl - 500 records suitable for record linkage with additional regression variables
- rl_reg1 - 500 records suitable for record linkage with additional regression variables
- rl_reg2 - 500 records suitable for record linkage with additional regression variables
- rl_reg5 - 500 records suitable for record linkage with additional regression variables
downstream-taskspost-linkage-analysisrecord-linkage
Last updated 1 years agofrom:4e6534a7c3. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 07 2024 |
| R-4.5-win-x86_64 | OK | Sep 07 2024 |
| R-4.5-linux-x86_64 | OK | Sep 07 2024 |
| R-4.4-win-x86_64 | OK | Sep 07 2024 |
| R-4.4-mac-x86_64 | OK | Sep 07 2024 |
| R-4.4-mac-aarch64 | OK | Sep 07 2024 |
| R-4.3-win-x86_64 | OK | Sep 07 2024 |
| R-4.3-mac-x86_64 | OK | Sep 07 2024 |
| R-4.3-mac-aarch64 | OK | Sep 07 2024 |
Exports:clust_compositeclust_proto_minimaxclust_proto_randomdist_binarydist_col_typedist_col_type_slowemp_kl_divpp_weightsrepresentwithin_category_compare_cpp
Dependencies:clicodetoolsdoParalleldplyrfansiforeachgenericsglueiteratorslifecyclemagrittrpillarpkgconfigR6Rcpprlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Composite record from a cluster using a weighted average of each column values. | clust_composite |
| Prototype record from a cluster. | clust_proto_minimax clust_proto_random maxmin_compare random_compare within_category_compare |
| The distance between two records | dist_binary dist_col_type_slow |
| dist_col_type Inner column type record distance function | dist_col_type |
| Calculate the empirical KL divergence for a representative dataset as compared to the true dataset | emp_kl_div |
| Get posterior weights for each record post record-linkage using posterior prototyping. | pp_weights |
| Create a representative dataset post record-linkage. | represent |
| representr: A package for creating representative records post-record linkage. | representr |
| 500 records suitable for record linkage with additional regression variables | identity.rl_reg1 identity.rl_reg2 identity.rl_reg5 linkage.rl rl_reg1 rl_reg2 rl_reg5 |
| within_category_compare_cpp Inner column type record distance function | within_category_compare_cpp |
