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localFDA  

Localization Processes for Functional Data Analysis
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]
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 02 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for localFDA
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