knnwtsim swMATH ID: 40918 Software Authors: Matthew Trupiano Description: R package 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>. Homepage: https://cran.gedik.edu.tr/web/packages/knnwtsim/index.html Dependencies: R Keywords: arXiv_stat.ME; arXiv_stat.CO; R; R package; knnwtsim; K Nearest Neighbor Forecasting; KNN; Tailored Similarity Metric; time series; forecasting; nonparametric; similarity Related Software: clusterGeneration; MASS (R); tsfknn; fable; forecast; R Cited in: 0 Publications Standard Articles 1 Publication describing the Software Year The R Package knnwtsim: Nonparametric Forecasting With a Tailored Similarity Measure Matthew Trupiano 2021