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seasonalytics  

Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("seasonalytics")
Maintained by
Mr. Ankit Kumar Singh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-16
Latest Update: 2025-12-16
Description:
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.
How to cite:
Mr. Ankit Kumar Singh (2025). seasonalytics: Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data. R package version 0.1.0, https://cran.r-project.org/web/packages/seasonalytics. Accessed 24 Oct. 2026.
Previous versions and publish date:
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View seasonalytics citation profile
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Complete documentation for seasonalytics
Functions, R codes and Examples using the seasonalytics R package
Full seasonalytics package functions and examples
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