CRAN/E | sarima

sarima

Simulation and Prediction with Seasonal ARIMA Models

Installation

About

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, exogenous variables and arbitrary roots on the unit circle, which can be fixed or estimated (for the algebraic basis for this see , a paper on the methodology is being prepared).

geobosh.github.io/sarima/ (doc) https://github.com/GeoBosh/sarima (devel)
geobosh.github.io/sarima/ (doc) https://github.com/GeoBosh/sarima (devel)
Bug report File report

Key Metrics

Version 0.9.3
R ≥ 2.10
Published 2024-03-26 31 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks sarima results

Downloads

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Maintainer

Maintainer

Georgi N. Boshnakov

georgi.boshnakov@manchester.ac.uk

Authors

Georgi N. Boshnakov

aut / cre

Jamie Halliday

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Garch and white noise tests
Autocorrelations and white noise tests

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sarima archive

Depends

R ≥ 2.10
methods
stats4

Imports

graphics
stats
utils
PolynomF ≥ 1.0-0
Formula
lagged ≥ 0.2.1
Rcpp ≥ 0.12.14
Rdpack
numDeriv
ltsa

Suggests

testthat
KFAS
FKF
fGarch
forecast

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

pcts