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.


Reference manual

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install.packages("seasonalytics")

0.1.0 by Mr. Ankit Kumar Singh, 10 months ago


Browse source code at https://github.com/cran/seasonalytics


Authors: Dr. Pramit Pandit [aut] , Mr. Ankit Kumar Singh [aut, cre] , Ms. Anita Sarkar [aut] , Ms. Moumita Paul [aut] , Dr. Bikramjeet Ghose [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports seastests

Suggests testthat


See at CRAN