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.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✨
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.

1.76 score 5.8k downloads 3 exports 33 dependencies

Last updated from:601481950e. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK194
linux-release-x86_64OK167
wasm-releaseOK99

Exports:deseasonalizeseasonalizeSI

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalesseasteststimeDateurcavctrsviridisLitewithrxtszoo