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  "Title": "Heterogeneous Treatment Effects in Regression Discontinuity\nDesigns",
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  "Description": "Understanding heterogeneous causal effects based on\npretreatment covariates is a crucial step in modern empirical\nwork in data science. Building on the recent developments in\nCalonico et al (2025) <doi:10.48550/arXiv.2503.13696>, this\npackage provides tools for estimation and inference of\nheterogeneous treatment effects in Regression Discontinuity\n(RD) Designs. The package includes two main commands: 'rdhte'\nto conduct estimation and robust bias-corrected inference for\nconditional RD treatment effects (given choice of bandwidth\nparameter); 'rdbwhte', which implements automatic bandwidth\nselection methods; and 'rdhte_lincom' to test linear\ncombinations of parameters.",
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  "Author": "Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H.\nFarrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut]",
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