OTrecod: An R Package for Data Fusion using Optimal Transportation Theory

نویسندگان

چکیده

The advances of information technologies often confront users with a large amount data which is essential to integrate easily. In this context, creating single database from multiple separate sources can appear as an attractive but complex issue when same interest stored in at least two distinct encodings. situation, merging the consists finding common recoding scale fill incomplete synthetic database. OTrecod package provides R-users functions dedicated solve problem using optimal transportation theory. Specific arguments these enrich algorithms by relaxing distributional constraints or adding regularization term make fusion more flexible. also set support harmonization sources, handling and selection matching variables. This paper gives all keys quickly understand master original implemented package, assisting step user its project.

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ژورنال

عنوان ژورنال: R Journal

سال: 2023

ISSN: ['2073-4859']

DOI: https://doi.org/10.32614/rj-2023-006