Package: tsfknn 0.6.0

tsfknn: Time Series Forecasting Using Nearest Neighbors

Allows forecasting time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.

Authors:Francisco Martinez [aut, cre]

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NEWS

Peer review:

Bug tracker:https://github.com/franciscomartinezdelrio/tsfknn/issues

On CRAN:

5 exports 10 stars 1.66 score 29 dependencies 42 scripts 470 downloads

Last updated 9 months agofrom:45e95c28ac. Checks:OK: 9. Indexed: yes.

Exports:knn_examplesknn_forecastingn_training_examplesnearest_neighborsrolling_origin

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr