Other packages > Find by keyword >

transformerForecasting  

Transformer Deep Learning Model for Time Series Forecasting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("transformerForecasting", "0.1.0")



Attach the package and use:
library("transformerForecasting")
Maintained by
G H Harish Nayak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-07
Latest Update: 2025-03-07
Description:
Time series forecasting faces challenges due to the non-stationarity, nonlinearity, and chaotic nature of the data. Traditional deep learning models like Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) process data sequentially but are inefficient for long sequences. To overcome the limitations of these models, we proposed a transformer-based deep learning architecture utilizing an attention mechanism for parallel processing, enhancing prediction accuracy and efficiency. This paper presents user-friendly code for the implementation of the proposed transformer-based deep learning architecture utilizing an attention mechanism for parallel processing. References:Nayak et al. (2024) <doi:10.1007/s40808-023-01944-7> and Nayak et al. (2024) <doi:10.1016/j.simpa.2024.100716>.
How to cite:
G H Harish Nayak (2025). transformerForecasting: Transformer Deep Learning Model for Time Series Forecasting. R package version 0.1.0, https://cran.r-project.org/web/packages/transformerForecasting. Accessed 26 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited transformerForecasting R package
View transformerForecasting citation profile
Other R packages that transformerForecasting depends, imports, suggests or enhances
Complete documentation for transformerForecasting
Functions, R codes and Examples using the transformerForecasting R package
Full transformerForecasting package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

colormap  
Color Palettes using Colormaps Node Module
Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see ...
Download / Learn more Package Citations See dependency  
ggblanket  
Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions. ...
Download / Learn more Package Citations See dependency  
tactile  
New and Extended Plots, Methods, and Panel Functions for 'lattice'
Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel f ...
Download / Learn more Package Citations See dependency  
infotheo  
Information-Theoretic Measures
Implements various measures of information theory based on several entropy estimators. ...
Download / Learn more Package Citations See dependency  
PoisBinOrdNor  
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal ...
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  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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