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TSLSTMplus (version 1.0.6)

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

Description

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) .

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Version

Install

install.packages('TSLSTMplus')

Monthly Downloads

177

Version

1.0.6

License

GPL-3

Maintainer

Jaime Pizarroso Gonzalo

Last Published

February 3rd, 2025

Functions in TSLSTMplus (1.0.6)

minmax_scale

Min-Max Scaling of a Matrix
LSTMModel

LSTMModel class
ts.lstm

Long Short Term Memory (LSTM) Model for Time Series Forecasting
lagmatrix

Create lead/lags of a variable
predict.LSTMModel

Predict using a Trained LSTM Model
summary.LSTMModel

Summary of a Trained LSTM Model
ts.prepare.data

Prepare data for Long Short Term Memory (LSTM) Model for Time Series Forecasting