Package: tsfknn
Type: Package
Title: Time Series Forecasting Using Nearest Neighbors
Version: 0.4.0
Authors@R: person("Francisco", "Martinez", email = "fmartin@ujaen.es",
    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 (2017) <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 <fmartin@ujaen.es>
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
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: 2020-06-04 08:26:42 UTC; UJA
Author: Francisco Martinez [aut, cre]
Repository: CRAN
Date/Publication: 2020-06-04 08:40:03 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 13:13:09 UTC; windows
Archs: i386, x64
