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uGMAR

Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models

Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) <doi:10.1080/03610926.2021.1916531>, Savi Virolainen (2022) <doi:10.1515/snde-2020-0060>.

Versions across snapshots

VersionRepositoryFileSize
3.6.0 rolling linux/jammy R-4.5 uGMAR_3.6.0.tar.gz 1.1 MiB
3.6.0 rolling linux/noble R-4.5 uGMAR_3.6.0.tar.gz 1.1 MiB
3.6.0 rolling source/ R- uGMAR_3.6.0.tar.gz 717.0 KiB
3.6.0 latest linux/jammy R-4.5 uGMAR_3.6.0.tar.gz 1.1 MiB
3.6.0 latest linux/noble R-4.5 uGMAR_3.6.0.tar.gz 1.1 MiB
3.6.0 latest source/ R- uGMAR_3.6.0.tar.gz 717.0 KiB
3.6.0 2026-04-26 source/ R- uGMAR_3.6.0.tar.gz 717.0 KiB
3.6.0 2026-04-23 source/ R- uGMAR_3.6.0.tar.gz 717.0 KiB
3.6.0 2026-04-09 windows/windows R-4.5 uGMAR_3.6.0.zip 1.1 MiB
3.5.2 2025-04-20 source/ R- uGMAR_3.5.2.tar.gz 723.3 KiB

Dependencies (latest)

Imports

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