Package: iAR Type: Package Title: Irregularly Observed Autoregressive Models Version: 1.3.4 Date: 2026-05-14 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 Description: 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) ), the complex irregular autoregressive model (Elorrieta et al.(2019) ) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) ). 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://github.com/felipeelorrieta LinkingTo: Rcpp,RcppArmadillo LazyData: true Encoding: UTF-8 NeedsCompilation: yes Packaged: 2026-06-15 07:21:33 UTC; root Author: Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut] Config/roxygen2/version: 7.3.3 Config/testthat/edition: 3 RoxygenNote: 7.3.3 Repository: https://felipeelorrieta.r-universe.dev Date/Publication: 2026-05-16 19:36:34 UTC RemoteUrl: https://github.com/cran/iAR RemoteRef: HEAD RemoteSha: fc2d81b65581f7dafbc86fe745f58f59a8b217cc