# Create Representative Records After Entity Resolution

## Documentation for package ‘representr’ version 0.1.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

representr-package | representr: A package for creating representative records post-record linkage.
clust_composite | Composite record from a cluster using a weighted average of each column values.
clust_proto_minimax | Prototype record from a cluster.
clust_proto_random | Prototype record from a cluster.
dist_binary | The distance between two records
dist_col_type | dist_col_type Inner column type record distance function
dist_col_type_slow | The distance between two records
emp_kl_div | Calculate the empirical KL divergence for a representative dataset as compared to the true dataset
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
maxmin_compare | Prototype record from a cluster.
pp_weights | Get posterior weights for each record post record-linkage using posterior prototyping.
random_compare | Prototype record from a cluster.
represent | Create a representative dataset post record-linkage.
representr | representr: A package for creating representative records post-record linkage.
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
within_category_compare | Prototype record from a cluster.
within_category_compare_cpp | within_category_compare_cpp Inner column type record distance function