Package: iAR
Type: Package
Title: Irregularly Observed Autoregressive Models
Version: 1.3.5
Date: 2026-10-26
Authors@R: c(
    person("Elorrieta", "Felipe", email = "felipe.elorrieta@usach.cl", role = c("aut","cre")),
    person("Ojeda", "Cesar", email = "cesar.ojeda@correounivalle.edu.co", role = "aut"),
    person("Eyheramendy", "Susana", email = "susana.eyheramendy@gmail.com", role = "aut"),
    person("Palma", "Wilfredo", email = "wilfredo.palma@gmail.com", role = "aut"))
Maintainer: Elorrieta Felipe <felipe.elorrieta@usach.cl>
Description: Data sets and functions for implementing discrete-time
        autoregressive models for irregularly observed time series. The
        models implemented include the irregular autoregressive (iAR)
        model (Eyheramendy et al. (2018) <doi:10.1093/mnras/sty2487>),
        the complex irregular autoregressive (CiAR) model (Elorrieta et
        al. (2019) <doi:10.1051/0004-6361/201935560>), and the
        bivariate irregular autoregressive (BiAR) model (Elorrieta et
        al. (2021) <doi:10.1093/mnras/stab1216>). For a comprehensive
        description of the package and its applications, see Elorrieta
        et al. (2026) <doi:10.32614/RJ-2026-036>.
License: GPL-2
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.7),ggplot2,stats, Rdpack, S7, zoo
RdMacros: Rdpack
Suggests: arfima, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://felipeelorrieta.github.io/iAR-package/
LinkingTo: Rcpp,RcppArmadillo
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-27 20:29:21 UTC; root
Author: Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy
        Susana [aut], Palma Wilfredo [aut]
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-27 12:40:14 UTC
RemoteUrl: https://github.com/cran/iAR
RemoteRef: HEAD
RemoteSha: b4487d71bb5a785c434fc7086ada0d80d71951f8