ForecastingEnsembles: Time Series Forecasting Using 23 Individual Models

Runs multiple individual time series models, and combines them into an ensembles of time series models. This is mainly used to predict the results of the monthly labor market report from the United States Bureau of Labor Statistics for virtually any part of the economy reported by the Bureau of Labor Statistics, but it can be easily modified to work with other types of time series data. For example, the package was used to predict the winning men's and women's time for the 2024 London Marathon.

Package details

AuthorRuss Conte [aut, cre, cph]
MaintainerRuss Conte <russconte@mac.com>
LicenseMIT + file LICENSE
Version0.5.0
URL https://github.com/InfiniteCuriosity/ForecastingEnsembles
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ForecastingEnsembles")

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ForecastingEnsembles documentation built on April 3, 2025, 7:40 p.m.