knnwtsim
1.0.0K Nearest Neighbor Forecasting with a Tailored Similarity Metric
Overview
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.
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- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- References docs
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.0Latest
- 0.1.02021-11-18
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-11-18
- Total releases
- 2 / 5 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 142 KB / 4 files
- Download size
- 200 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet