doi:10.1002/jae.1279> and Harvey (2013) <doi:10.1017/cbo9781139540933>. Model specification allows for various data types and distributions, different parametrizations, exogenous variables, joint and separate modeling of exogenous variables and dynamics, higher score and autoregressive orders, custom and unconditional initial values of time-varying parameters, fixed and bounded values of coefficients, and missing values. Model estimation is performed by the maximum likelihood method.">

gasmodel: Generalized Autoregressive Score Models (original) (raw)

Estimation, forecasting, and simulation of generalized autoregressive score (GAS) models of Creal, Koopman, and Lucas (2013) <doi:10.1002/jae.1279> and Harvey (2013) <doi:10.1017/cbo9781139540933>. Model specification allows for various data types and distributions, different parametrizations, exogenous variables, joint and separate modeling of exogenous variables and dynamics, higher score and autoregressive orders, custom and unconditional initial values of time-varying parameters, fixed and bounded values of coefficients, and missing values. Model estimation is performed by the maximum likelihood method.

Version: 0.6.2
Depends: R (≥ 3.5)
Imports: abind, arrangements, copula, dplyr, ggplot2, Matrix, mvnfast, nloptr, numDeriv, pracma, tidyr
Suggests: hms, knitr, rmarkdown, testthat
Published: 2025-08-18
DOI: 10.32614/CRAN.package.gasmodel
Author: Vladimír Holý ORCID iD [aut, cre]
Maintainer: Vladimír Holý <vladimir.holy at vse.cz>
BugReports: https://github.com/vladimirholy/gasmodel/issues
License: GPL-3
URL: https://github.com/vladimirholy/gasmodel
NeedsCompilation: no
Materials: README, NEWS
In views: TimeSeries
CRAN checks: gasmodel results

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