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UnitMix  

Detecting Measurement-Unit Errors via Gaussian Mixture Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("UnitMix", "0.0.1")



Attach the package and use:
library("UnitMix")
Maintained by
Cristina Faricelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-16
Latest Update: 2026-03-16
Description:
Tools to detect and correct measurement-unit errors in multivariate numeric data using model-based clustering. Gaussian mixture models with user-defined translation vectors identify clusters of records that differ in scale or unit. Core functionality includes cluster assignment via the EM algorithm, error correction based on posterior probabilities and pairwise scatterplot visualizations. For more details see Di Zio, Guarnera and Luzi (2005) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2005001/article/8087-eng.pdf>.
How to cite:
Cristina Faricelli (2026). UnitMix: Detecting Measurement-Unit Errors via Gaussian Mixture Models. R package version 0.0.1, https://cran.r-project.org/web/packages/UnitMix. Accessed 25 Oct. 2026.
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