Other packages > Find by keyword >

decompML  

Decomposition Based Machine Learning Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("decompML", "0.1.1")



Attach the package and use:
library("decompML")
Maintained by
Kapil Choudhary
[Scholar Profile | Author Map]
First Published: 2025-02-18
Latest Update: 2025-02-18
Description:
The hybrid model is a highly effective forecasting approach that integrates decomposition techniques with machine learning to enhance time series prediction accuracy. Each decomposition technique breaks down a time series into multiple intrinsic mode functions (IMFs), which are then individually modeled and forecasted using machine learning algorithms. The final forecast is obtained by aggregating the predictions of all IMFs, producing an ensemble output for the time series. The performance of the developed models is evaluated using international monthly maize price data, assessed through metrics such as root mean squared error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE). For method details see Choudhary, K. et al. (2023). <https://ssca.org.in/media/14_SA44052022_R3_SA_21032023_Girish_Jha_FINAL_Finally.pdf>.
How to cite:
Kapil Choudhary (2025). decompML: Decomposition Based Machine Learning Model. R package version 0.1.1, https://cran.r-project.org/web/packages/decompML. Accessed 10 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited decompML R package
View decompML citation profile
Other R packages that decompML depends, imports, suggests or enhances
Complete documentation for decompML
Functions, R codes and Examples using the decompML R package
Full decompML package functions and examples
Downloads during the last 30 days
03/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/08Downloads for decompML0246810121416TrendBars

Today's Hot Picks in Authors and Packages

RODBC  
ODBC Database Access
txtq  
A Small Message Queue for Parallel Processes
This queue is a data structure that lets parallel processes send and receive messages, and it can he ...
Download / Learn more Package Citations See dependency  
xtermStyle  
Terminal Text Formatting Using Escape Sequences
Can be used for coloring output in terminals. It was developed for the standard Ubuntu terminal but ...
Download / Learn more Package Citations See dependency  
ecochange  
Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biolo ...
Download / Learn more Package Citations See dependency  
webglobe  
3D Interactive Globes
Displays geospatial data on an interactive 3D globe in the web browser. ...
Download / Learn more Package Citations See dependency  
GRNNs  
General Regression Neural Networks Package
This General Regression Neural Networks Package uses various distance functions. It was motivated b ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

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