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iAR

Irregularly Observed Autoregressive Models

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) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).

Versions across snapshots

VersionRepositoryFileSize
1.3.2 rolling source/ R- iAR_1.3.2.tar.gz 147.8 KiB
1.3.2 rolling linux/jammy R-4.5 iAR_1.3.2.tar.gz 491.6 KiB
1.3.2 rolling linux/noble R-4.5 iAR_1.3.2.tar.gz 505.4 KiB
1.3.2 latest source/ R- iAR_1.3.2.tar.gz 147.8 KiB
1.3.2 latest linux/jammy R-4.5 iAR_1.3.2.tar.gz 491.6 KiB
1.3.2 latest linux/noble R-4.5 iAR_1.3.2.tar.gz 505.4 KiB
1.3.2 2026-04-26 source/ R- iAR_1.3.2.tar.gz 147.8 KiB
1.3.2 2026-04-23 source/ R- iAR_1.3.2.tar.gz 147.8 KiB
1.3.2 2026-04-09 windows/windows R-4.5 iAR_1.3.2.zip 912.9 KiB
1.3.0 2025-04-20 source/ R- iAR_1.3.0.tar.gz 143.7 KiB

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