Other packages > Find by keyword >

matchFeat  

One-to-One Feature Matching
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("matchFeat", "1.0")



Attach the package and use:
library("matchFeat")
Maintained by
David Degras
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-13
Latest Update: 2022-12-13
Description:
Statistical methods to match feature vectors between multiple datasets in a one-to-one fashion. Given a fixed number of classes/distributions, for each unit, exactly one vector of each class is observed without label. The goal is to label the feature vectors using each label exactly once so to produce the best match across datasets, e.g. by minimizing the variability within classes. Statistical solutions based on empirical loss functions and probabilistic modeling are provided. The 'Gurobi' software and its 'R' interface package are required for one of the package functions (match.2x()) and can be obtained at (free academic license). For more details, refer to Degras (2022) "Scalable feature matching for large data collections" and Bandelt, Maas, and Spieksma (2004) "Local search heuristics for multi-index assignment problems with decomposable costs".
How to cite:
David Degras (2022). matchFeat: One-to-One Feature Matching. R package version 1.0, https://cran.r-project.org/web/packages/matchFeat. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited matchFeat R package
View matchFeat citation profile
Other R packages that matchFeat depends, imports, suggests or enhances
Complete documentation for matchFeat
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA