Package: transformerForecasting 0.1.0
transformerForecasting: Transformer Deep Learning Model for Time Series Forecasting
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>.
Authors:
transformerForecasting_0.1.0.tar.gz
transformerForecasting_0.1.0.zip(r-4.5)transformerForecasting_0.1.0.zip(r-4.4)transformerForecasting_0.1.0.zip(r-4.3)
transformerForecasting_0.1.0.tgz(r-4.5-any)transformerForecasting_0.1.0.tgz(r-4.4-any)transformerForecasting_0.1.0.tgz(r-4.3-any)
transformerForecasting_0.1.0.tar.gz(r-4.5-noble)transformerForecasting_0.1.0.tar.gz(r-4.4-noble)
transformerForecasting_0.1.0.tgz(r-4.4-emscripten)transformerForecasting_0.1.0.tgz(r-4.3-emscripten)
transformerForecasting.pdf |transformerForecasting.html✨
transformerForecasting/json (API)
# Install 'transformerForecasting' in R: |
install.packages('transformerForecasting', repos = c('https://harish11999.r-universe.dev', 'https://cloud.r-project.org')) |
- S_P_500_Close - S&P 500's closing price data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 days agofrom:1b61751eb1. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 08 2025 |
R-4.5-win | OK | Mar 08 2025 |
R-4.5-mac | OK | Mar 08 2025 |
R-4.5-linux | OK | Mar 08 2025 |
R-4.4-win | OK | Mar 08 2025 |
R-4.4-mac | OK | Mar 08 2025 |
R-4.4-linux | OK | Mar 08 2025 |
R-4.3-win | OK | Mar 08 2025 |
R-4.3-mac | OK | Mar 08 2025 |
Exports:%>%install_r_dependenciesTRANSFORMER
Dependencies:backportsbase64encclicolorspaceconfigfansifarvergenericsggplot2gluegtablehereisobandjsonlitekeraslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpngprocessxpsR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrprojrootrstudioapiscalestensorflowtfautographtfrunstibbletidyselectutf8vctrsviridisLitewhiskerwithryamlzeallot
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Install Package Dependencies | install_r_dependencies |
S&P 500's closing price data | S_P_500_Close |
Transformer Model for Time Series Forecasting | TRANSFORMER |