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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 localFDA_1.0.0.tar.gz 1012.8 KiB
1.0.0 rolling linux/noble R-4.5 localFDA_1.0.0.tar.gz 1012.7 KiB
1.0.0 rolling source/ R- localFDA_1.0.0.tar.gz 996.1 KiB
1.0.0 latest linux/jammy R-4.5 localFDA_1.0.0.tar.gz 1012.8 KiB
1.0.0 latest linux/noble R-4.5 localFDA_1.0.0.tar.gz 1012.7 KiB
1.0.0 latest source/ R- localFDA_1.0.0.tar.gz 996.1 KiB
1.0.0 2026-04-26 source/ R- localFDA_1.0.0.tar.gz 996.1 KiB
1.0.0 2026-04-23 source/ R- localFDA_1.0.0.tar.gz 996.1 KiB
1.0.0 2026-04-09 windows/windows R-4.5 localFDA_1.0.0.zip 1015.5 KiB
1.0.0 2025-04-20 source/ R- localFDA_1.0.0.tar.gz 996.1 KiB

Dependencies (latest)

Imports