seasonalytics: Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data

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.

Version: 0.1.0
Imports: seastests
Suggests: testthat (≥ 3.0.0)
Published: 2025-12-16
DOI: 10.32614/CRAN.package.seasonalytics (may not be active yet)
Author: Dr. Pramit Pandit [aut], Mr. Ankit Kumar Singh [aut, cre], Ms. Anita Sarkar [aut], Ms. Moumita Paul [aut], Dr. Bikramjeet Ghose [aut]
Maintainer: Mr. Ankit Kumar Singh <ankitsinghvns32 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: seasonalytics results

Documentation:

Reference manual: seasonalytics.html , seasonalytics.pdf

Downloads:

Package source: seasonalytics_0.1.0.tar.gz
Windows binaries: r-devel: seasonalytics_0.1.0.zip, r-release: not available, r-oldrel: seasonalytics_0.1.0.zip
macOS binaries: r-release (arm64): seasonalytics_0.1.0.tgz, r-oldrel (arm64): seasonalytics_0.1.0.tgz, r-release (x86_64): seasonalytics_0.1.0.tgz, r-oldrel (x86_64): seasonalytics_0.1.0.tgz

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