Package: localFDA 1.0.0

Antonio Elías

localFDA: Localization Processes for Functional Data Analysis

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 Elías, A., Jiménez, R. and Yukich, J. (2020) <arxiv:2007.16059>.

Authors:Antonio Elías [aut, cre], Raul Jiménez [aut], Joe Yukich [aut]

localFDA_1.0.0.tar.gz
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localFDA.pdf |localFDA.html
localFDA/json (API)

# Install 'localFDA' in R:
install.packages('localFDA', repos = c('https://aefdz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/aefdz/localfda/issues

Datasets:

On CRAN:

classificationfunctional-data-analysisimputationoutliers-detection

2.70 score 96 downloads 5 exports 0 dependencies

Last updated 4 years agofrom:bd3bda7dba. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:localizationClassifierlocalizationDistanceslocalizationProcesseslocalizationStatisticsoutlierLocalizationDistance

Dependencies: