CRAN/E | TSLSTMplus

TSLSTMplus

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

Installation

About

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.

Key Metrics

Version 1.0.4
Published 2024-03-10 50 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Jaime Pizarroso Gonzalo

jpizarroso@comillas.edu

Authors

Jaime Pizarroso Gonzalo

aut / ctb / cre

Antonio Muñoz San Roque

aut

Material

Reference manual
Package source

In Views

TimeSeries

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

TSLSTMplus archive

Imports

keras
tensorflow
tsutils
stats
abind