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: | 1.0.0 |
| Depends: | R (≥ 3.3.3) |
| Imports: | parallelDist, forecast, stats, utils, doParallel, foreach |
| Published: | 2018-07-01 |
| Author: | Daniel Bastarrica Lacalle [aut], Javier Berdecio Trigueros [aut, cre] |
| Maintainer: | Javier Berdecio Trigueros <javierberdeciot at gmail.com> |
| BugReports: | https://github.com/Dani-Basta/TFG/issues |
| License: | AGPL-3 |
| URL: | https://github.com/Dani-Basta/TFG |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | knnp results |
| Reference manual: | knnp.pdf |
| Package source: | knnp_1.0.0.tar.gz |
| Windows binaries: | r-devel: knnp_1.0.0.zip, r-release: knnp_1.0.0.zip, r-oldrel: knnp_1.0.0.zip |
| OS X binaries: | r-release: knnp_1.0.0.tgz, r-oldrel: knnp_1.0.0.tgz |
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