PROMiDAT/forecasteR: Time Series Forecast System

A web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, naïve, seasonal naïve and drift, as well as more complex methods such as Holt-Winters Box,G and Jenkins, G (1976) <doi:10.1111/jtsa.12194> and ARIMA Brockwell, P.J. and R.A.Davis (1991) <doi:10.1007/978-1-4419-0320-4>.

Getting started

Package details

Maintainer
LicenseGPL (>=2)
Version2.0.2
URL https://promidat.website https://github.com/PROMiDAT/forecasteR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PROMiDAT/forecasteR")
PROMiDAT/forecasteR documentation built on June 30, 2023, 9:43 p.m.