# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "TSLSTMplus" in publications use:' type: software license: GPL-3.0-only title: 'TSLSTMplus: Long-Short Term Memory for Time-Series Forecasting, Enhanced' version: 1.0.6 doi: 10.32614/CRAN.package.TSLSTMplus abstract: 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) . authors: - family-names: Pizarroso Gonzalo given-names: Jaime email: jpizarroso@comillas.edu - family-names: Muñoz San Roque given-names: Antonio email: antonio.munoz@iit.comillas.edu repository: https://CRAN.R-project.org/package=TSLSTMplus date-released: '2025-02-03' contact: - family-names: Pizarroso Gonzalo given-names: Jaime email: jpizarroso@comillas.edu