fedmatch 2.0.5
- Fixed bug in
build_tier_settings
that didn’t include sequential_words
argument
- Fixed bug where
clean_strings
wasn’t removing the replacement words even if remove_words == T
- Fixed bug where
tier_match
didn’t work in some cases with fuzzy_match
- Now exporting
build_corpus
to easily compute wgt_jaccard_distance
- Added weighted jaccard distance option to
compare_type
in multivar matching
fedmatch 2.0.4
- Added
wgt_jaccard_distance
to easily compute Weighted Jaccard Distances for two string vectors
- Lowered R requirement to 3.5.3
- Added behavior to remove NA observations from exact matches, reinserting them into later tiers if necessary
- Fixed bug in
tier_match
building ‘nomatch’ datasets incorrectly
- Fixed bug in
wgt_jaccard
where inverse frequencies were not being logged.
fedmatch 2.0.3
- Fixed STATE_FIPS to actually include FIPS codes
- Changed the output column from ‘multivar’ matching to be called ‘multivar_score’ rather than ‘matchscore’, so as not to conflict with score_settings in
merge_plus
- Fixed bug in Weighted Jaccard scoring that would allow scores > 1 if the two names shared multiples of the same word
fedmatch 2.0.2
- Fixed bugs in Weighted Jaccard code to run on MacOS environments
fedmatch 2.0.1
- Fixed bugs in Makevars so that C++ code runs in parallel
- Fixed bugs in
tier_match
that stopped matches from being removed in between tiers
- Fixed bugs preventing the successful build on other platforms besides native linux
fedmatch 2.0.0
- Added full data.table functionality to dramatically increase speed
- Added ‘multivar’ matching to match on multiple variables
- Added capability to train a logit model and use the output
- Added ‘Weighted Jaccard’ match to get better matches