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 |