Package: knnwtsim
Type: Package
Title: K Nearest Neighbor Forecasting with a Tailored Similarity Metric
Version: 1.1.0.9000
Author: Matthew Trupiano
Maintainer: Matthew Trupiano <matthew.trupiano.professional@gmail.com>
Description: Functions to implement K Nearest Neighbor forecasting
        using a weighted similarity metric tailored to the problem of
        forecasting univariate time series where recent observations,
        seasonal patterns, and exogenous predictors are all relevant in
        predicting future observations of the series in question. For
        more information on the formulation of this similarity metric
        please see Trupiano (2021) <arXiv:2112.06266>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/mtrupiano1/knnwtsim
BugReports: https://github.com/mtrupiano1/knnwtsim/issues
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.1.2
Imports: stats
Depends: R (>= 2.10)
Repository: https://mtrupiano1.r-universe.dev
Date/Publication: 2022-03-06 17:02:10 UTC
RemoteUrl: https://github.com/mtrupiano1/knnwtsim
RemoteRef: HEAD
RemoteSha: 90ea40721d7f23cb736ffd6d0b16f423343abe46
NeedsCompilation: no
Packaged: 2026-10-03 07:51:01 UTC; root