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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 |
Reference manual: | knnp.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=knnp to link to this page.
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.