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knnwtsim  

K Nearest Neighbor Forecasting with a Tailored Similarity Metric
View on CRAN: Click here


Download and install knnwtsim package within the R console
Install from CRAN:
install.packages("knnwtsim")

Install from Github:
library("remotes")
install_github("cran/knnwtsim")

Install by package version:
library("remotes")
install_version("knnwtsim", "1.0.0")



Attach the package and use:
library("knnwtsim")
Maintained by
Matthew Trupiano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-18
Latest Update: 2022-03-05
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) .
How to cite:
Matthew Trupiano (2021). knnwtsim: K Nearest Neighbor Forecasting with a Tailored Similarity Metric. R package version 1.0.0, https://cran.r-project.org/web/packages/knnwtsim
Previous versions and publish date:
0.1.0 (2021-11-18 15:30)
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