Other packages > Find by keyword >

tsLSTMx  

Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values
View on CRAN: Click here


Download and install tsLSTMx package within the R console
Install from CRAN:
install.packages("tsLSTMx")

Install from Github:
library("remotes")
install_github("cran/tsLSTMx")

Install by package version:
library("remotes")
install_version("tsLSTMx", "0.1.0")



Attach the package and use:
library("tsLSTMx")
Maintained by
Sandip Garai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-12
Latest Update: 2024-01-12
Description:
It is a versatile tool for predicting time series data using Long Short-Term Memory (LSTM) models. It is specifically designed to handle time series with an exogenous variable, allowing users to denote whether data was available for a particular period or not. The package encompasses various functionalities, including hyperparameter tuning, custom loss function support, model evaluation, and one-step-ahead forecasting. With an emphasis on ease of use and flexibility, it empowers users to explore, evaluate, and deploy LSTM models for accurate time series predictions and forecasting in diverse applications. More details can be found in Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.
How to cite:
Sandip Garai (2024). tsLSTMx: Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values. R package version 0.1.0, https://cran.r-project.org/web/packages/tsLSTMx. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited tsLSTMx R package
View tsLSTMx citation profile
Other R packages that tsLSTMx depends, imports, suggests or enhances
Complete documentation for tsLSTMx
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA