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knnp: Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel)

Two main functionalities are provided. One of them is predicting values with k-nearest neighbors algorithm and the other is optimizing the parameters k and d of the algorithm. These are carried out in parallel using multiple threads.

Version: 2.0.0
Depends: R (≥ 3.6.0)
Imports: parallelDist, forecast, stats, utils, doParallel, foreach, plyr
Suggests: tseries, tsibble, datasets
Published: 2020-01-10
DOI: 10.32614/CRAN.package.knnp
Author: Daniel Bastarrica Lacalle [aut, cre], Javier Berdecio Trigueros [aut], Javier Arroyo Gallardo [aut], Albert Meco Alias [aut]
Maintainer: Daniel Bastarrica Lacalle <danibast at ucm.es>
BugReports: https://github.com/Grasia/knnp/issues
License: AGPL-3
URL: https://github.com/Grasia/knnp
NeedsCompilation: no
Materials: NEWS
CRAN checks: knnp results

Documentation:

Reference manual: knnp.pdf

Downloads:

Package source: knnp_2.0.0.tar.gz
Windows binaries: r-devel: knnp_2.0.0.zip, r-release: knnp_2.0.0.zip, r-oldrel: knnp_2.0.0.zip
macOS binaries: r-release (arm64): knnp_2.0.0.tgz, r-oldrel (arm64): knnp_2.0.0.tgz, r-release (x86_64): knnp_2.0.0.tgz, r-oldrel (x86_64): knnp_2.0.0.tgz
Old sources: knnp archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.