Package: TSLSTMplus 1.0.6

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>.

Authors:Jaime Pizarroso Gonzalo [aut, ctb, cre], Antonio Muñoz San Roque [aut]

TSLSTMplus_1.0.6.tar.gz
TSLSTMplus_1.0.6.zip(r-4.7)TSLSTMplus_1.0.6.zip(r-4.6)TSLSTMplus_1.0.6.zip(r-4.5)
TSLSTMplus_1.0.6.tgz(r-4.6-any)TSLSTMplus_1.0.6.tgz(r-4.5-any)
TSLSTMplus_1.0.6.tar.gz(r-4.7-any)TSLSTMplus_1.0.6.tar.gz(r-4.6-any)
TSLSTMplus_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TSLSTMplus/json (API)

# Install 'TSLSTMplus' in R:

install.packages('TSLSTMplus', repos = c('https://jaipizgon.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jaipizgon/tslstmplus/issues

On CRAN:

2.70 score 4 scripts 263 downloads 5 exports 34 dependencies

Last updated from:e8d6ff7882. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	132
source / vignettes	OK	152
linux-release-x86_64	OK	133
macos-release-arm64	OK	144
macos-oldrel-arm64	OK	132
windows-devel	OK	120
windows-release	OK	82
windows-oldrel	OK	109
wasm-release	OK	103

Exports:lagmatrix LSTMModel minmax_scale ts.lstm ts.prepare.data

Dependencies:abind backports base64enc cli config generics glue here jsonlite keras lattice lifecycle magrittr Matrix png processx ps R6 rappdirs Rcpp RcppTOML reticulate rlang rprojroot rstudioapi tensorflow tfautograph tfruns tidyselect vctrs whisker withr yaml zeallot

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create lead/lags of a variable	lagmatrix
LSTMModel class	LSTMModel
Min-Max Scaling of a Matrix	minmax_scale
Predict using a Trained LSTM Model	predict.LSTMModel
Summary of a Trained LSTM Model	summary.LSTMModel
Long Short Term Memory (LSTM) Model for Time Series Forecasting	ts.lstm
Prepare data for Long Short Term Memory (LSTM) Model for Time Series Forecasting	ts.prepare.data