knnp: 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.

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

Downloads:

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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