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Tip revision: c1cb69c3b53e5f3899ca6162f495a1707583bfa0 authored by Francisco Martinez on 04 September 2023, 08:40:02 UTC
version 0.5.2
Tip revision: c1cb69c
Package: tsfknn
Type: Package
Title: Time Series Forecasting Using Nearest Neighbors
Version: 0.5.2
Authors@R: person("Francisco", "Martinez", email = "",
    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 <>
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
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
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