Data Fusion using Optimal Transportation Theory
Overview
In the context of data fusion, the package provides a set of functions dedicated to the solving of 'recoding problems' using optimal transportation theory (Gares, Guernec, Savy (2019) doi:10.1515/ijb-2018-0106 and Gares, Omer (2020) doi:10.1080/01621459.2020.1775615). From two databases with no overlapping part except a subset of shared variables, the functions of the package assist users until obtaining a unique synthetic database, where the missing information is fully completed.
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) imput_cov.Rd:79: Lost braces
79 | \item van Buuren, S., Groothuis-Oudshoorn, K. (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1–67. url{https://www.jstatsoft.org/v45/i03/}
| ^
checkRd: (-1) indiv_grp_closest.Rd:47: Lost braces; missing escapes or markup?
47 | The function \code{indiv_grp_closest} is an intermediate function used in the implementation of an algorithm called {OUTCOME} (and its enrichment {R-OUTCOME}, see the reference (2) for more details) dedicated to the solving of recoding problems in data fusion using Optimal Transportation theory.
| ^
checkRd: (-1) indiv_grp_closest.Rd:47: Lost braces; missing escapes or markup?
47 | The function \code{indiv_grp_closest} is an intermediate function used in the implementation of an algorithm called {OUTCOME} (and its enrichment {R-OUTCOME}, see the reference (2) for more details) dedicated to the solving of recoding problems in data fusion using Optimal Transportation theory.
| ^
checkRd: (-1) merge_dbs.Rd:179: Lost braces
179 | \item van Buuren, S., Groothuis-Oudshoorn, K. (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1–67. url{https://www.jstatsoft.org/v45/i03/}
| ^- NOTE13 NOTE2026-07-13
- ERROR11 NOTE, 2 ERROR2026-06-12
- NOTE13 NOTE2026-06-09
- ERROR12 NOTE, 1 ERROR2026-06-08
- NOTE13 NOTE2026-05-02
Show 2 earlier changesHide 2 earlier changes
- ERROR11 NOTE, 1 ERROR2026-04-25
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 23
- Examples that run
- 100%17 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 65%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.2Latest
- RR 4.2.0 released · 2022-04-22
- 0.1.12021-09-20 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-01-29
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-29
- Total releases
- 3 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 109 KB / 6 files
- Download size
- 357 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("OTrecod")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.