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iAR: Irregularly Observed Autoregressive Models
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>.
Getting started
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Package details |
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| Author | Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut] |
| Maintainer | Elorrieta Felipe <felipe.elorrieta@usach.cl> |
| License | GPL-2 |
| Version | 1.3.5 |
| URL | https://felipeelorrieta.github.io/iAR-package/ |
| Package repository | View on CRAN |
| Installation |
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