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  "Description": "Implementation of a theoretically supported alternative to\nk-nearest neighbors for functional data to solve problems of\nestimating unobserved segments of a partially observed\nfunctional data sample, functional classification and outlier\ndetection. The approximating neighbor curves are piecewise\nfunctions built from a functional sample. Instead of a distance\non a function space we use a locally defined distance function\nthat satisfies stabilization criteria. The package allows the\nimplementation of the methodology and the replication of the\nresults in Elías, A., Jiménez, R. and Yukich, J. (2020)\n<arXiv:2007.16059>.",
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  "Repository": "https://aefdz.r-universe.dev",
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