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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 |
| 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 |
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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.
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