sym.arma: Autoregressive and Moving Average Symmetric Models

Functions for fitting the Autoregressive and Moving Average Symmetric Model for univariate time series introduced by Maior and Cysneiros (2018), <doi:10.1007/s00362-016-0753-z>. Fitting method: conditional maximum likelihood estimation. For details see: Wei (2006), Time Series Analysis: Univariate and Multivariate Methods, Section 7.2.

Version:	1.0
Published:	2018-09-30
Author:	Vinicius Quintas Souto Maior [aut,cre,cph] and Francisco Jose A Cysneiros [aut]
Maintainer:	Vinicius Quintas Souto Maior <vinicius at de.ufpe.br>
License:	GPL-2
NeedsCompilation:	no
In views:	TimeSeries
CRAN checks:	sym.arma results

Documentation:

Reference manual:

sym.arma.pdf

Downloads:

Package source:	sym.arma_1.0.tar.gz
Windows binaries:	r-devel: sym.arma_1.0.zip, r-release: sym.arma_1.0.zip, r-oldrel: sym.arma_1.0.zip
macOS binaries:	r-release (arm64): sym.arma_1.0.tgz, r-oldrel (arm64): sym.arma_1.0.tgz, r-release (x86_64): sym.arma_1.0.tgz, r-oldrel (x86_64): sym.arma_1.0.tgz

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