Package: TSLSTMplus 1.0.5

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_1.0.5.tar.gz
TSLSTMplus_1.0.5.zip(r-4.5)TSLSTMplus_1.0.5.zip(r-4.4)TSLSTMplus_1.0.5.zip(r-4.3)
TSLSTMplus_1.0.5.tgz(r-4.4-any)TSLSTMplus_1.0.5.tgz(r-4.3-any)
TSLSTMplus_1.0.5.tar.gz(r-4.5-noble)TSLSTMplus_1.0.5.tar.gz(r-4.4-noble)
TSLSTMplus_1.0.5.tgz(r-4.4-emscripten)TSLSTMplus_1.0.5.tgz(r-4.3-emscripten)
TSLSTMplus.pdf |TSLSTMplus.html✨
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:

3.60 score 1 scripts 265 downloads 4 exports 81 dependencies

Last updated 3 months agofrom:e73a861624. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win	OK	Nov 05 2024
R-4.5-linux	OK	Nov 05 2024
R-4.4-win	OK	Nov 05 2024
R-4.4-mac	OK	Nov 05 2024
R-4.3-win	OK	Nov 05 2024
R-4.3-mac	OK	Nov 05 2024

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

Dependencies:abind askpass backports base64enc cli colorspace config curl fansi farver forecast fracdiff generics ggplot2 glue greybox gtable here httr isoband jsonlite keras labeling lattice lifecycle lmtest magrittr MAPA MASS Matrix mgcv mime munsell nlme nloptr nnet openssl pillar pkgconfig plotrix png pracma processx ps quadprog quantmod R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppTOML reticulate rlang rprojroot rstudioapi scales smooth statmod sys tensorflow texreg tfautograph tfruns tibble tidyselect timeDate tseries tsutils TTR urca utf8 vctrs viridisLite whisker withr xtable xts yaml zeallot zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
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