knnwtsim: K Nearest Neighbor Forecasting with a Tailored Similarity Metric

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) <https://github.com/mtrupiano1/knnwtsim/blob/main/README.md>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats
Suggests: testthat (≥ 3.0.0)
Published: 2021-11-18
Author: Matthew Trupiano
Maintainer: Matthew Trupiano <matthew.trupiano.professional at gmail.com>
BugReports: https://github.com/mtrupiano1/knnwtsim/issues
License: GPL (≥ 3)
URL: https://github.com/mtrupiano1/knnwtsim
NeedsCompilation: no
Materials: README
CRAN checks: knnwtsim results

Documentation:

Reference manual: knnwtsim.pdf

Downloads:

Package source: knnwtsim_0.1.0.tar.gz
Windows binaries: r-devel: knnwtsim_0.1.0.zip, r-release: knnwtsim_0.1.0.zip, r-oldrel: knnwtsim_0.1.0.zip
macOS binaries: r-release (arm64): knnwtsim_0.1.0.tgz, r-release (x86_64): knnwtsim_0.1.0.tgz, r-oldrel: knnwtsim_0.1.0.tgz

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