Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data R package seasonalytics version 0.1.0 The computation of a seasonal index is a fundamental step in time-series forecasting when the data exhibits seasonality. Specifically, a seasonal index quantifies — for each season (e.g. month, quarter, week) — the relative magnitude of the seasonal effect compared to the overall average level of the series. This package has been developed to compute seasonal index for time series data and it also seasonalise and desesaonalise the time series data. Software Imports: seastests Suggests: testthat (>= 3.0.0) Mr. Ankit Kumar Singh <ankitsinghvns32@gmail.com> Comprehensive R Archive Network (CRAN) Dr. Pramit Pandit [aut], Mr. Ankit Kumar Singh [aut, cre], Ms. Anita Sarkar [aut], Ms. Moumita Paul [aut], Dr. Bikramjeet Ghose [aut] GPL-3 2025-12-16 application/tgz https://CRAN.R-project.org/package=seasonalytics doi:10.32614/CRAN.package.seasonalytics