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.


Reference manual

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install.packages("knnp")

2.0.0 by Daniel Bastarrica Lacalle, 7 years ago


https://github.com/Grasia/knnp


Report a bug at https://github.com/Grasia/knnp/issues


Browse source code at https://github.com/cran/knnp


Authors: Daniel Bastarrica Lacalle [aut, cre] , Javier Berdecio Trigueros [aut] , Javier Arroyo Gallardo [aut] , Albert Meco Alias [aut]


Documentation:   PDF Manual  


AGPL-3 license


Imports parallelDist, forecast, stats, utils, doParallel, foreach, plyr

Suggests tseries, tsibble, datasets


See at CRAN