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:
localFDA_1.0.0.tar.gz
localFDA_1.0.0.zip(r-4.5)localFDA_1.0.0.zip(r-4.4)localFDA_1.0.0.zip(r-4.3)
localFDA_1.0.0.tgz(r-4.4-any)localFDA_1.0.0.tgz(r-4.3-any)
localFDA_1.0.0.tar.gz(r-4.5-noble)localFDA_1.0.0.tar.gz(r-4.4-noble)
localFDA_1.0.0.tgz(r-4.4-emscripten)localFDA_1.0.0.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/aefdz/localfda/issues
- classificationData - Two groups of Gaussian processes with different mean values
- exampleData - Functional Gaussian processes.
- outlierData - Functional Gaussian processes with outliers.
classificationfunctional-data-analysisimputationoutliers-detection
Last updated 4 years agofrom:bd3bda7dba. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:localizationClassifierlocalizationDistanceslocalizationProcesseslocalizationStatisticsoutlierLocalizationDistance
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Two groups of Gaussian processes with different mean values | classificationData |
Functional Gaussian processes. | exampleData |
Localization classifier | localizationClassifier |
Localization distances | localizationDistances |
Localization processes | localizationProcesses |
Localization Distances Statistics | localizationStatistics |
Functional Gaussian processes with outliers. | outlierData |
Outlier localization distances | outlierLocalizationDistance |