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andre_ramos
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README.md

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# StateSpaceLearning
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| **Build Status** | **Coverage** | **Documentation** |
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| **Build Status** | **Coverage** | **Documentation** | **CodeStyle** |
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|:-----------------:|:-----------------:|:-----------------:|
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| [![ci](https://github.com/LAMPSPUC/StateSpaceLearning.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/LAMPSPUC/StateSpaceLearning.jl/actions/workflows/ci.yml) | [![codecov](https://codecov.io/gh/LAMPSPUC/StateSpaceLearning.jl/graph/badge.svg?token=VDpuXvPSI2)](https://codecov.io/gh/LAMPSPUC/StateSpaceLearning.jl) | [![](https://img.shields.io/badge/docs-latest-blue.svg)]( https://lampspuc.github.io/StateSpaceLearning.jl/)
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StateSpaceLearning.jl is a package for modeling and forecasting time series in a high-dimension regression framework.
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src/models/structural_model.jl

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end
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if trend
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initial_states_matrix = hcat(
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initial_states_matrix, vcat([0], collect(1:(T + steps_ahead - 1)))
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)
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initial_states_matrix, vcat([0], collect(1:(T + steps_ahead - 1)))
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)
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else
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nothing
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end

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