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localFDA
View on CRAN: Click
here
Download and install localFDA package within the R console
Install from CRAN:
install.packages("localFDA")
Install from Github:
library("remotes")
install_github("cran/localFDA") Install by package version:
library("remotes")
install_version("localFDA", "1.0.0") Attach the package and use:
library("localFDA")
Maintained by
Antonio Elías
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-30
Latest Update: 2020-09-30
Description:
Implementation of a theoretically supported alternative to k-nearest neighbors for functional data
to solve problems of estimating unobserved segments of a partially observed functional data sample,
functional classification and outlier detection. The approximating neighbor curves are piecewise functions built from a functional sample.
Instead of a distance on a function space we use a locally defined distance function that satisfies stabilization criteria.
The package allows the implementation of the methodology and the replication of the results in El
How to cite:
Antonio Elías (2020). localFDA: Localization Processes for Functional Data Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/localFDA. Accessed 12 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for localFDA
Functions, R codes and Examples using
the localFDA R package
Some associated functions: classificationData . exampleData . localizationClassifier . localizationDistances . localizationProcesses . localizationStatistics . outlierData . outlierLocalizationDistance .
Some associated R codes: LocalizationClassifier.R . LocalizationDistances.R . LocalizationProcesses.R . LocalizationStatistics.R . OutlierLocalizationDistances.R . classificationData.R . exampleData.R . outlierData.R . Full localFDA package functions and examples
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