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edmcr  

Euclidean Distance Matrix Completion Tools
View on CRAN: Click here


Download and install edmcr package within the R console
Install from CRAN:
install.packages("edmcr")

Install from Github:
library("remotes")
install_github("cran/edmcr")

Install by package version:
library("remotes")
install_version("edmcr", "0.2.0")



Attach the package and use:
library("edmcr")
Maintained by
R. Wayne Oldford
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-21
Latest Update:
Description:
Implements various general algorithms to estimate missing elements of a Euclidean (squared) distance matrix. Includes optimization methods based on semi-definite programming found in Alfakih, Khadani, and Wolkowicz (1999), a non-convex position formulation by Fang and O'Leary (2012), and a dissimilarity parameterization formulation by Trosset (2000). When the only non-missing distances are those on the minimal spanning tree, the guided random search algorithm will complete the matrix while preserving the minimal spanning tree following Rahman and Oldford (2018). Point configurations in specified dimensions can be determined from the completions. Special problems such as the sensor localization problem, as for example in Krislock and Wolkowicz (2010), as well as reconstructing the geometry of a molecular structure, as for example in Hendrickson (1995), can also be solved. These and other methods are described in the thesis of Adam Rahman(2018).
How to cite:
R. Wayne Oldford (2017). edmcr: Euclidean Distance Matrix Completion Tools. R package version 0.2.0, https://cran.r-project.org/web/packages/edmcr. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:35), 0.1 (2017-09-21 18:57), 0.2.0 (2021-09-10 12:40)
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Complete documentation for edmcr
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