Package: TSLSTM 0.1.0
TSLSTM: Long Short Term Memory (LSTM) Model for Time Series Forecasting
The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Min-Max transformation has been used for data preparation. Here, we have used one LSTM layer as a simple LSTM model and a Dense layer is used as the output layer. Then, compile the model using the loss function, optimizer and metrics. This package is based on Keras and TensorFlow modules and the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.
Authors:
TSLSTM_0.1.0.tar.gz
TSLSTM_0.1.0.zip(r-4.5)TSLSTM_0.1.0.zip(r-4.4)TSLSTM_0.1.0.zip(r-4.3)
TSLSTM_0.1.0.tgz(r-4.4-any)TSLSTM_0.1.0.tgz(r-4.3-any)
TSLSTM_0.1.0.tar.gz(r-4.5-noble)TSLSTM_0.1.0.tar.gz(r-4.4-noble)
TSLSTM_0.1.0.tgz(r-4.4-emscripten)TSLSTM_0.1.0.tgz(r-4.3-emscripten)
TSLSTM.pdf |TSLSTM.html✨
TSLSTM/json (API)
# Install 'TSLSTM' in R: |
install.packages('TSLSTM', repos = c('https://ranjitstat.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:276da206a1. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Exports:ts.lstm
Dependencies:askpassbackportsbase64encclicolorspaceconfigcurlfansifarverforecastfracdiffgenericsggplot2gluegreyboxgtableherehttrisobandjsonlitekeraslabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellnlmenloptrnnetopensslpillarpkgconfigplotrixpngpracmaprocessxpsquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadilloRcppTOMLreticulaterlangrprojrootrstudioapiscalessmoothstatmodsystensorflowtexregtfautographtfrunstibbletidyselecttimeDatetseriestsutilsTTRurcautf8vctrsviridisLitewhiskerwithrxtablextsyamlzeallotzoo
Readme and manuals
Help Manual
Help page | Topics |
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Long Short Term Memory (LSTM) Model for Time Series Forecasting | ts.lstm |