TSLSTMplus: Long-Short Term Memory for Time-Series Forecasting, Enhanced

The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Customizable configurations for the model are allowed, improving the capabilities and usability of this model compared to other packages. This package is based on 'keras' and 'tensorflow' modules and the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.

Getting started

Package details

AuthorJaime Pizarroso Gonzalo [aut, ctb, cre], Antonio Muñoz San Roque [aut]
MaintainerJaime Pizarroso Gonzalo <jpizarroso@comillas.edu>
LicenseGPL-3
Version1.0.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TSLSTMplus")

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TSLSTMplus documentation built on April 3, 2025, 5:53 p.m.