K Nearest Neighbor Forecasting with a Tailored Similarity Metric R package knnwtsim version 1.0.0 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>. Software Depends: R (>= 2.10) Imports: stats Suggests: testthat (>= 3.0.0) Matthew Trupiano <matthew.trupiano.professional@gmail.com> Comprehensive R Archive Network (CRAN) Matthew Trupiano GPL (>= 3) 2022-03-05 application/tgz https://CRAN.R-project.org/package=knnwtsim doi:10.32614/CRAN.package.knnwtsim