Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).
Version: 1.3.1 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.7), ggplot2, stats, Rdpack, S7, zoo LinkingTo: Rcpp, RcppArmadillo Suggests: arfima Published: 2025-07-03 DOI: 10.32614/CRAN.package.iAR Author: Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut] Maintainer: Elorrieta Felipe <felipe.elorrieta at usach.cl> License: GPL-2 URL: https://github.com/felipeelorrieta NeedsCompilation: yes Materials: README CRAN checks: iAR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=iAR to link to this page.
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