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 (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).
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.