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GAS
implements the Generalized Autoregressive Score (GAS) framework in R.
The GAS package provides functions to simulate univariate and
multivariate GAS processes, estimate the GAS parameters and to make time
series forecasts. Full description of the algorithm and numerous
applications are available in Ardia et al. (2018) and
Ardia et
al. (2019).
By using GAS
you agree to the following rules:
GAS
.GAS
: https://CRAN.R-project.org/package=GAS.GAS
.Ardia, D., Boudt, K., Catania, L. (2018).
Downside Risk Evaluation with the R Package GAS.
R Journal, 10(2), 410-421.
https://doi.org/10.32614/RJ-2018-064
Ardia, D., Boudt, K., Catania, L. (2019).
Generalized autoregressive score models in R: The GAS package.
Journal of Statistical Software, 88(6), 1-28.
https://doi.org/10.18637/jss.v088.i06
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.