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  "Description": "Estimating causal parameters in the presence of treatment\nspillover is of great interest in statistics. This package\nprovides tools for instrumental variables estimation of average\ncausal effects under network interference of unknown form. The\ntarget parameters are the local average direct effect, the\nlocal average indirect effect, the local average overall\neffect, and the local average spillover effect. The methods are\ndeveloped by Hoshino and Yanagi (2023)\n<doi:10.48550/arXiv.2108.07455>.",
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