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Package: tsfknn Type: Package Title: Time Series Forecasting Using Nearest Neighbors Version: 0.5.2 Authors@R: person("Francisco", "Martinez", email = "firstname.lastname@example.org", role = c("aut", "cre")) Description: Allows to forecast 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. Maintainer: Francisco Martinez <email@example.com> License: GPL-2 Encoding: UTF-8 RoxygenNote: 7.2.3 Depends: R (>= 3.6.0) Suggests: knitr, rmarkdown, testthat (>= 2.0.1) Imports: ggplot2 (>= 3.1.1), graphics, Rcpp, stats, utils VignetteBuilder: knitr URL: https://github.com/franciscomartinezdelrio/tsfknn BugReports: https://github.com/franciscomartinezdelrio/tsfknn/issues LinkingTo: Rcpp NeedsCompilation: yes Packaged: 2023-09-04 08:20:46 UTC; UJA Author: Francisco Martinez [aut, cre] Repository: CRAN Date/Publication: 2023-09-04 08:40:02 UTC