Create Representative Records After Entity Resolution

---

Documentation for package ‘representr’ version 0.1.5

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

Help Pages

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