Package: sym.arma 1.0

Vinicius Quintas Souto Maior

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.

Authors:Vinicius Quintas Souto Maior [aut,cre,cph] and Francisco Jose A Cysneiros [aut]

sym.arma_1.0.tar.gz
sym.arma_1.0.zip(r-4.7-any)sym.arma_1.0.zip(r-4.6-any)sym.arma_1.0.zip(r-4.5-any)
sym.arma_1.0.tgz(r-4.6-any)sym.arma_1.0.tgz(r-4.5-any)
sym.arma_1.0.tar.gz(r-4.7-any)sym.arma_1.0.tar.gz(r-4.6-any)
sym.arma_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sym.arma/json (API)

# Install 'sym.arma' in R:
install.packages('sym.arma', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:
  • assets - Returns of the daily closing prices of assets, Standard and Poors 500 Index and T-bill rates

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 9 scripts 234 downloads 6 exports 0 dependencies

Last updated from:43bd2d3a15 (on package/sym.arma). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE99
source / vignettesOK127
linux-releaseNOTE96
macos-releaseNOTE77
macos-oldrelNOTE136
windows-develNOTE88
windows-releaseNOTE66
windows-oldrelNOTE59
wasm-releaseOK65

Exports:clr.testelliptical.tsinfluencepredictqqplotsymarma.sim

Dependencies: