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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.6 |
rolling linux/jammy R-4.5 | TSLSTMplus_1.0.6.tar.gz |
53.1 KiB |
1.0.6 |
rolling linux/noble R-4.5 | TSLSTMplus_1.0.6.tar.gz |
53.1 KiB |
1.0.6 |
rolling source/ R- | TSLSTMplus_1.0.6.tar.gz |
10.2 KiB |
1.0.6 |
latest linux/jammy R-4.5 | TSLSTMplus_1.0.6.tar.gz |
53.1 KiB |
1.0.6 |
latest linux/noble R-4.5 | TSLSTMplus_1.0.6.tar.gz |
53.1 KiB |
1.0.6 |
latest source/ R- | TSLSTMplus_1.0.6.tar.gz |
10.2 KiB |
1.0.6 |
2026-04-26 source/ R- | TSLSTMplus_1.0.6.tar.gz |
10.2 KiB |
1.0.6 |
2026-04-23 source/ R- | TSLSTMplus_1.0.6.tar.gz |
10.2 KiB |
1.0.6 |
2026-04-09 windows/windows R-4.5 | TSLSTMplus_1.0.6.zip |
55.8 KiB |
1.0.6 |
2025-04-20 source/ R- | TSLSTMplus_1.0.6.tar.gz |
10.2 KiB |