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Merge branch 'BayesSpace' of https://github.com/Eva2703/FDboost into BayesSpace
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README.md

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`FDboost` Boosting Functional Regression Models.
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The package FDboost fits regression models for functional data, i.e.,
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scalar-on-function, function-on-scalar and function-on-function regression models,
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scalar-on-function, function-on-scalar, and function-on-function regression models,
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by a component-wise gradient boosting algorithm.
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Furthermore, it can be used to fit density-on-scalar regression models.
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## Using FDboost
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- [function-on-function regression](https://cran.r-project.org/web/packages/FDboost/vignettes/FLAM_canada.pdf)
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- [scalar-on-function regression](https://cran.r-project.org/web/packages/FDboost/vignettes/FLAM_fuel.pdf)
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- [function-on-scalar regression](https://cran.r-project.org/web/packages/FDboost/vignettes/FLAM_viscosity.pdf)
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- [density-on-scalar regression](https://github.com/Eva2703/FDboost/blob/BayesSpace/vignettes/density-on-scalar_birth.pdf)
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## Issues & Feature Requests
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