Package: knnwtsim 1.1.0.9000

Matthew Trupiano

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) <arxiv:2112.06266>.

Authors:Matthew Trupiano

knnwtsim_1.1.0.9000.tar.gz
knnwtsim_1.1.0.9000.zip(r-4.7)knnwtsim_1.1.0.9000.zip(r-4.6)knnwtsim_1.1.0.9000.zip(r-4.5)
knnwtsim_1.1.0.9000.tgz(r-4.6-any)knnwtsim_1.1.0.9000.tgz(r-4.5-any)
knnwtsim_1.1.0.9000.tar.gz(r-4.7-any)knnwtsim_1.1.0.9000.tar.gz(r-4.6-any)
knnwtsim_1.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
knnwtsim/json (API)
NEWS

# Install 'knnwtsim' in R:
install.packages('knnwtsim', repos = c('https://mtrupiano1.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mtrupiano1/knnwtsim/issues

Datasets:

On CRAN:

Conda:

forecastingknn-regressionmachine-learningtime-series

2.70 score 1 stars 2 scripts 155 downloads 10 exports 0 dependencies

Last updated from:90ea40721d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK151
linux-release-x86_64OK108
macos-release-arm64OK154
macos-oldrel-arm64OK183
windows-develOK87
windows-releaseOK68
windows-oldrelOK87
wasm-releaseOK88

Exports:knn.forecastknn.forecast.boot.intervalsknn.forecast.randomsearch.tuningNNregSeasonalAbsDissimilaritySpMatrixCalcStMatrixCalcSwMatrixCalcSxMatrixCalcTempAbsDissimilarity

Dependencies: