{ "_id": "6a106d62acfb0bcc41caae2a", "Package": "RCTrep", "Type": "Package", "Title": "Validation of Estimates of Treatment Effects in Observational\nData", "Version": "1.0.0", "Authors@R": "c(person(\"Lingjie\", \"Shen\", role = c(\"aut\", \"cre\", \"cph\"), email = \"602249910@qq.com\"), person(\"Gijs\",\"Geleijnse\", role = \"aut\", email = \"g.geleijnse@iknl.nl\"), person(\"Maurits\",\"Kaptein\", role = \"aut\", email = \"M.C.Kaptein@tilburguniversity.edu\"))", "Author": "Lingjie Shen [aut, cre, cph], Gijs Geleijnse [aut], Maurits\nKaptein [aut]", "Maintainer": "Lingjie Shen <602249910@qq.com>", "Description": "Validates estimates of (conditional) average treatment\neffects obtained using observational data by a) making it easy\nto obtain and visualize estimates derived using a large variety\nof methods (G-computation, inverse propensity score weighting,\netc.), and b) ensuring that estimates are easily compared to a\ngold standard (i.e., estimates derived from randomized\ncontrolled trials). 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