Other packages > Find by keyword >

forecastML  

Time Series Forecasting with Machine Learning Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("forecastML", "0.9.0")



Attach the package and use:
library("forecastML")
Maintained by
Nickalus Redell
[Scholar Profile | Author Map]
First Published: 2019-10-09
Latest Update: 2020-05-07
Description:
The purpose of 'forecastML' is to simplify the process of multi-step-ahead forecasting with standard machine learning algorithms. 'forecastML' supports lagged, dynamic, static, and grouping features for modeling single and grouped numeric or factor/sequence time series. In addition, simple wrapper functions are used to support model-building with most R packages. This approach to forecasting is inspired by Bergmeir, Hyndman, and Koo's (2018) paper "A note on the validity of cross-validation for evaluating autoregressive time series prediction" .
How to cite:
Nickalus Redell (2019). forecastML: Time Series Forecasting with Machine Learning Methods. R package version 0.9.0, https://cran.r-project.org/web/packages/forecastML. Accessed 31 Mar. 2025.
Previous versions and publish date:
0.5.0 (2019-10-09 17:30), 0.6.0 (2019-11-23 06:40), 0.7.0 (2020-01-07 11:30), 0.8.0 (2020-02-28 23:40)
Other packages that cited forecastML R package
View forecastML citation profile
Other R packages that forecastML depends, imports, suggests or enhances
Complete documentation for forecastML
Downloads during the last 30 days
03/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/29Downloads for forecastML2468101214161820222426TrendBars

Today's Hot Picks in Authors and Packages

tclust  
Robust Trimmed Clustering
Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (200 ...
Download / Learn more Package Citations See dependency  
PermutationR  
Conduct Permutation Analysis of Variance in R
Conduct permutation One-Way or Two-Way Analysis of Variance in R. Use different permutation types fo ...
Download / Learn more Package Citations See dependency  
popbio  
Construction and Analysis of Matrix Population Models
Construct and analyze projection matrix models from a demography study of marked individuals classif ...
Download / Learn more Package Citations See dependency  
bodycomp  
Percent Body Fat Values Using Anthropometric Prediction Equations
Skinfold measurements is one of the most popular and practical methods for estimating percent body f ...
Download / Learn more Package Citations See dependency  
surveillance  
Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Statistical methods for the modeling and monitoring of time series of counts, proportions and catego ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

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