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[![REF](https://img.shields.io/badge/REF-Linked%20GP-informational)](https://doi.org/10.1137/20M1323771)
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[![REF](https://img.shields.io/badge/REF-Deep%20GP-informational)](https://doi.org/10.1080/00401706.2022.2124311)
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[![REF](https://img.shields.io/badge/REF-Linked%20DGP-informational)](https://arxiv.org/abs/2306.01212)
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[![python](https://img.shields.io/badge/Python-dgpsi%20v2.1.6-informational)](https://github.com/mingdeyu/DGP)
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[![python](https://img.shields.io/badge/Python-dgpsi%20v2.2.0-informational)](https://github.com/mingdeyu/DGP)
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![CRAN_License](https://img.shields.io/cran/l/dgpsi?color=green)
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The R package `dgpsi` provides R interface to Python package [`dgpsi`](https://github.com/mingdeyu/DGP) for deep and linked Gaussian process emulations.

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