business-science/timekit: A Tool Kit for Working with Time Series

Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.

Getting started

Package details

Maintainer
LicenseGPL (>= 3)
Version2.9.0
URL https://github.com/business-science/timetk https://business-science.github.io/timetk/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("business-science/timekit")
business-science/timekit documentation built on Feb. 2, 2024, 2:51 a.m.