Package: representr 0.1.6

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:Andee Kaplan [aut, cre], Brenda Betancourt [aut], Rebecca C. Steorts [aut]

representr_0.1.6.tar.gz
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representr_0.1.6.tgz(r-4.6-x86_64)representr_0.1.6.tgz(r-4.6-arm64)representr_0.1.6.tgz(r-4.5-x86_64)representr_0.1.6.tgz(r-4.5-arm64)
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representr_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
representr/json (API)

# 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

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

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

On CRAN:

downstream-tasks post-linkage-analysis record-linkage cpp

4.85 score 10 stars 14 scripts 323 downloads 10 exports 20 dependencies

Last updated from:1bce511c39. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	152
linux-devel-x86_64	OK	172
source / vignettes	OK	304
linux-release-arm64	OK	147
linux-release-x86_64	OK	173
macos-release-arm64	OK	195
macos-release-x86_64	OK	478
macos-oldrel-arm64	OK	211
macos-oldrel-x86_64	OK	277
windows-devel-arm64	OK	373
windows-devel-x86_64	OK	183
windows-release-arm64	OK	374
windows-release-x86_64	OK	160
windows-oldrel-x86_64	OK	137
wasm-release	OK	147

Exports:clust_composite clust_proto_minimax clust_proto_random dist_binary dist_col_type dist_col_type_slow emp_kl_div pp_weights represent within_category_compare_cpp

Dependencies:cli codetools doParallel dplyr foreach generics glue iterators lifecycle magrittr pillar pkgconfig R6 Rcpp rlang tibble tidyselect utf8 vctrs withr

Prototyping with representr

Rendered fromrepresentr.Rmdusingknitr::rmarkdown

Last update: 2021-07-27
Started: 2018-10-01

Citation

Development and contributors

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-package 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