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>
License: GPL-2
NeedsCompilation: no
In views: TimeSeries
CRAN checks: sym.arma results


Reference manual: sym.arma.pdf


Package source: sym.arma_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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