Other packages > Find by keyword >

ForecastingEnsembles  

Time Series Forecasting Using 23 Individual Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ForecastingEnsembles", "0.5.1")



Attach the package and use:
library("ForecastingEnsembles")
Maintained by
Russ Conte
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-01
Latest Update: 2025-04-01
Description:
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.
How to cite:
Russ Conte (2025). ForecastingEnsembles: Time Series Forecasting Using 23 Individual Models. R package version 0.5.1, https://cran.r-project.org/web/packages/ForecastingEnsembles. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.5.0 (2025-04-01 18:20), (2026-07-09 08:04)
Other packages that cited ForecastingEnsembles R package
View ForecastingEnsembles citation profile
Other R packages that ForecastingEnsembles depends, imports, suggests or enhances
Complete documentation for ForecastingEnsembles
Functions, R codes and Examples using the ForecastingEnsembles R package
Full ForecastingEnsembles package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA