Other packages > Find by keyword >

WaveST  

Wavelet-Based Spatial Time Series Models
View on CRAN: Click here


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

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

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



Attach the package and use:
library("WaveST")
Maintained by
Dr. Ranjit Kumar Paul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-16
Latest Update: 2026-03-16
Description:
An integrated wavelet-based spatial time series modelling framework designed to enhance predictive accuracy under noisy and nonstationary conditions by jointly exploiting multi-resolution (wavelet) information and spatial dependence. The package implements WaveSARIMA() (Wavelet Based Spatial AutoRegressive Integrated Moving Average model using regression features with forecast::auto.arima()) and WaveSNN() (Wavelet Based Spatial Neural Network model using neuralnet with hyperparameter search). Both functions support spatial transformation via a user-supplied spatial matrix, lag feature construction, MODWT-based wavelet sub-series feature generation, time-ordered train/test splitting, and performance evaluation (Root Mean Square Error (RMSE), Mean Absolute Error (MAE), R-squared (R²), and Mean Absolute Percentage Error (MAPE)), returning fitted models and actual vs predicted values for train and test sets. The package has been developed using the algorithm of Paul et al. (2023) <doi:10.1007/s43538-025-00581-1>.
How to cite:
Dr. Ranjit Kumar Paul (2026). WaveST: Wavelet-Based Spatial Time Series Models. R package version 0.1.0, https://cran.r-project.org/web/packages/WaveST. Accessed 04 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited WaveST R package
View WaveST citation profile
Other R packages that WaveST depends, imports, suggests or enhances
Complete documentation for WaveST
Functions, R codes and Examples using the WaveST R package
Full WaveST package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

missCompare  
Intuitive Missing Data Imputation Framework
Offers a convenient pipeline to test and compare various missing data imputation algorithms on simu ...
Download / Learn more Package Citations See dependency  
musica  
Multiscale Climate Model Assessment
Provides functions allowing for (1) easy aggregation of multivariate time series into custom time sc ...
Download / Learn more Package Citations See dependency  
PELVIS  
Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressi ...
Download / Learn more Package Citations See dependency  
multiwayvcov  
Multi-Way Standard Error Clustering
Exports two functions implementing multi-way clustering using the method suggested by Cameron, Gelb ...
Download / Learn more Package Citations See dependency  
SurvCorr  
Correlation of Bivariate Survival Times
Estimates correlation coefficients with associated confidence limits for bivariate, partially censo ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,653

R Packages

236,180

Dependencies

73,674

Author Associations

27,536

Publication Badges

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