{ "_id": "6ac4cd1bf511ae58c09a189f", "Package": "LRErdd", "Type": "Package", "Title": "Regression Discontinuity Designs as Local Randomized Experiments", "Version": "0.1.0", "Authors@R": "c(person(\"Ibon\", \"Tamayo\", email = \"itamuria@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Alessandra\", \"Mattei\", email = \"alessandra.mattei@unifi.it\", role = c(\"aut\")),\nperson(\"Fabrizia\", \"Mealli\", email = \"fabrizia.mealli@unifi.it\", role = c(\"aut\")),\nperson(\"Marie-Abele\", \"Bind\", email = \"ma.bind@mail.harvard.edu\", role = c(\"aut\")))", "Description": "A set of functions for the design and analysis of\nRegression Discontinuity Designs as local randomized\nexperiments within the potential outcome approach as formalized\nin Li, Mattei and Mealli (2015) . A\nsubset of functions implements the design phase of the study,\nwhere the focus is on the selection of suitable subpopulations\nfor which valid causal inference can be drawn. 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