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.tar.gz(r-4.5-noble)sym.arma_1.0.tar.gz(r-4.4-noble)
sym.arma_1.0.tgz(r-4.4-emscripten)sym.arma_1.0.tgz(r-4.3-emscripten)
sym.arma.pdf |sym.arma.html
sym.arma/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 0 dependencies 9 scripts 162 downloads

Last updated 6 years agofrom:2a3ef48d5f. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-linuxNOTESep 08 2024

Exports:clr.testelliptical.tsinfluencepredictqqplotsymarma.sim

Dependencies: