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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) <doi:10.48550/arXiv.2007.16059>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, graphics |
| Published: | 2020-09-30 |
| DOI: | 10.32614/CRAN.package.localFDA |
| Author: | Antonio Elías [aut, cre], Raul Jiménez [aut], Joe Yukich [aut] |
| Maintainer: | Antonio Elías <antonioefz91 at gmail.com> |
| BugReports: | https://github.com/aefdz/localFDA |
| License: | GPL-3 |
| URL: | https://github.com/aefdz/localFDA |
| NeedsCompilation: | no |
| CRAN checks: | localFDA results |
| Reference manual: | localFDA.pdf |
| Package source: | localFDA_1.0.0.tar.gz |
| Windows binaries: | r-devel: localFDA_1.0.0.zip, r-release: localFDA_1.0.0.zip, r-oldrel: localFDA_1.0.0.zip |
| macOS binaries: | r-release (arm64): localFDA_1.0.0.tgz, r-oldrel (arm64): localFDA_1.0.0.tgz, r-release (x86_64): localFDA_1.0.0.tgz, r-oldrel (x86_64): localFDA_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
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