R package sarima: Simulation and Prediction with Seasonal ARIMA Models

    Research output: Book/ReportBook

    Abstract

    Functions, classes and methods for time series modelling with ARIMA
    and related models. The aim of the package is to provide consistent
    interface for the user. For example, a single function autocorrelations()
    computes various kinds of theoretical and sample autocorrelations. This is
    work in progress, see the documentation and vignettes for the current
    functionality. Function sarima() fits extended multiplicative seasonal
    ARIMA models with trends and exogeneneous variables.
    Original languageEnglish
    PublisherCRAN (Comprehensive R Archive Network)
    Publication statusPublished - 16 Oct 2017

    Keywords

    • software

    Fingerprint

    Dive into the research topics of 'R package sarima: Simulation and Prediction with Seasonal ARIMA Models'. Together they form a unique fingerprint.

    Cite this