# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "WaveST" in publications use:' type: software license: GPL-3.0-only title: 'WaveST: Wavelet-Based Spatial Time Series Models' version: 0.1.0 doi: 10.32614/CRAN.package.WaveST abstract: 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) . authors: - family-names: Yeasin given-names: Dr. Md email: yeasin.iasri@gmail.com - family-names: Paul given-names: Dr. Ranjit Kumar email: ranjitstat@gmail.com - family-names: Singh given-names: Akarsh Kumar repository: https://ranjitstat.r-universe.dev commit: 41e1b758a92088772ea88b9c5583b6b041208da8 date-released: '2026-03-16' contact: - family-names: Paul given-names: Dr. Ranjit Kumar email: ranjitstat@gmail.com