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.
| Version: | 0.6.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | ggplot2 (≥ 3.1.1), graphics,Rcpp, stats, utils |
| LinkingTo: | Rcpp |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2023-12-20 |
| DOI: | 10.32614/CRAN.package.tsfknn |
| Author: | Francisco Martinez [aut, cre] |
| Maintainer: | Francisco Martinez <fmartin at ujaen.es> |
| BugReports: | https://github.com/franciscomartinezdelrio/tsfknn/issues |
| License: | GPL-2 |
| URL: | https://github.com/franciscomartinezdelrio/tsfknn |
| NeedsCompilation: | yes |
| Citation: | tsfknn citation info |
| Materials: | README,NEWS |
| In views: | TimeSeries |
| CRAN checks: | tsfknn results |
| Reference manual: | tsfknn.html ,tsfknn.pdf |
| Vignettes: | Time Series Forecasting with KNN in R: the tsfknn Package (source,R code) |
| Package source: | tsfknn_0.6.0.tar.gz |
| Windows binaries: | r-devel:tsfknn_0.6.0.zip, r-release:tsfknn_0.6.0.zip, r-oldrel:tsfknn_0.6.0.zip |
| macOS binaries: | r-release (arm64):tsfknn_0.6.0.tgz, r-oldrel (arm64):tsfknn_0.6.0.tgz, r-release (x86_64):tsfknn_0.6.0.tgz, r-oldrel (x86_64):tsfknn_0.6.0.tgz |
| Old sources: | tsfknn archive |
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