Package: seasonalytics 0.1.0

Mr. Ankit Kumar Singh

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.

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

seasonalytics_0.1.0.tar.gz
seasonalytics_0.1.0.zip(r-4.7-any)seasonalytics_0.1.0.zip(r-4.6-any)
seasonalytics_0.1.0.tar.gz(r-4.7-any)seasonalytics_0.1.0.tar.gz(r-4.6-any)
seasonalytics_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
seasonalytics/json (API)

# Install 'seasonalytics' in R:
install.packages('seasonalytics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.44 score 2.7k downloads 3 exports 33 dependencies

Last updated from:601481950e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK138
source / vignettesOK221
linux-releaseOK143
windows-develOK53
windows-releaseOK67
wasm-releaseOK97

Exports:deseasonalizeseasonalizeSI

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalesseasteststimeDateurcavctrsviridisLitewithrxtszoo