optmatch
Functions for Optimal Matching
Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 doi:10.1198/106186006X137047). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
- Version0.10.8
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- optmatch citation info
- Last release09/19/2024
Documentation
Team
Josh Errickson
Adam Rauh
Show author detailsRolesContributorMark Fredrickson
Show author detailsRolesAuthorBen Hansen
Show author detailsRolesAuthorJosh Buckner
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 6,294 times in the last 30 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 205 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 59,183 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Mar 05, 2025 with 388 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports4 packages
- Enhances2 packages
- Suggests14 packages
- Linking To1 package
- Reverse Depends1 package
- Reverse Imports2 packages
- Reverse Suggests14 packages
- Reverse Enhances1 package