Welcome to the FLAME R Package Documentation!
FLAME is an R package for performing matching for observational causal inference on datasets containing discrete covariates. It implements the Fast, Large-Scale Almost Matching Exactly (FLAME) and Dynamic Almost Matching Exactly (DAME) algorithms, which match treatment and control units on subsets of the covariates. The resulting matched groups are interpretable, because the matches are made directly on observed covariates, and high-quality, because machine learning is used to determine which covariates are important to match on.
Contact
Please reach out to let our team know if you’re using this, or if you have any questions! Email us at almost-matching-exactly@duke.edu.