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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), the complex irregular autoregressive (CiAR) model (Elorrieta et al., 2019), and the bivariate irregular autoregressive (BiAR) model (Elorrieta et al., 2021). For a comprehensive description of the package and its applications, see Elorrieta et al. (2026), published in The R Journal.
You can install the released version of iAR from Github with:
remotes::install_github("felipeelorrieta/iAR-package")Please note that the iAR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.