Other packages > Find by keyword >

modeltime.ensemble  

Ensemble Algorithms for Time Series Forecasting with Modeltime
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/modeltime.ensemble")

Install by package version:
library("remotes")
install_version("modeltime.ensemble", "1.1.0")



Attach the package and use:
library("modeltime.ensemble")
Maintained by
Matt Dancho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-07
Latest Update: 2024-07-19
Description:
A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability. Refer to papers such as "Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) .
How to cite:
Matt Dancho (2020). modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime. R package version 1.1.0, https://cran.r-project.org/web/packages/modeltime.ensemble. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:32), 0.1.0 (2020-10-07 14:30), 0.2.0 (2020-10-09 12:20), 0.3.0 (2020-11-06 19:00), 0.4.0 (2021-04-05 16:20), 0.4.1 (2021-05-31 08:50), 0.4.2 (2021-07-16 14:10), 1.0.0 (2021-10-19 19:50), 1.0.1 (2022-06-09 14:20), 1.0.2 (2022-10-19 01:02), 1.0.3 (2023-04-18 13:50), 1.0.4 (2024-07-19 17:30), 1.0.5 (2025-08-28 21:10)
Other packages that cited modeltime.ensemble R package
View modeltime.ensemble citation profile
Other R packages that modeltime.ensemble depends, imports, suggests or enhances
Complete documentation for modeltime.ensemble
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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