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Raphael Saavedra
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Update README.md
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Project.toml

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name = "GAS"
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uuid = "4a87933e-d659-11e9-0e65-7f40dedd4a3a"
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authors = ["guilhermebodin <[email protected]>"]
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authors = ["guilhermebodin <[email protected]>, raphaelsaavedra <[email protected]>"]
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version = "0.1.0"
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README.md

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[codecov-img]: https://codecov.io/gh/LAMPSPUC/GAS.jl/coverage.svg?branch=master
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[codecov-url]: https://codecov.io/gh/LAMPSPUC/GAS.jl?branch=master
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GAS.jl is a Julia package for modeling, forecasting and simulating time series with score-driven models, also known as dynamic conditional score models (DCS) or generalized autoregressive score models (GAS). Implementations are based on the paper [Generalized Autoregressive Models with Applications](http://dx.doi.org/10.1002/jae.1279) by D. Creal, S. J. Koopman and A. Lucas.
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GAS.jl is a Julia package for modeling, forecasting, and simulating time series with generalized autoregressive score models (GAS), also known as score-driven models. Implementations are based on the paper [Generalized Autoregressive Models with Applications](http://dx.doi.org/10.1002/jae.1279) by D. Creal, S. J. Koopman, and A. Lucas.

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