{ "_id": "6a197f16acfb0bcc41df7e34", "Package": "rr", "Version": "1.4.2", "Title": "Statistical Methods for the Randomized Response Technique", "Authors@R": "c(person(\"Graeme\", \"Blair\", email = \"graeme.blair@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Yang-Yang\", \"Zhou\", email = \"yangyang.zhou@ubc.ca\", role = c(\"aut\")),\nperson(\"Kosuke\", \"Imai\", email = \"imai@harvard.edu\", role = c(\"aut\")),\nperson(\"Winston\", \"Chou\", email = \"wchou@princeton.edu\", role = c(\"ctb\")))", "Description": "Enables researchers to conduct multivariate statistical\nanalyses of survey data with randomized response technique\nitems from several designs, including mirrored question, forced\nquestion, and unrelated question. This includes regression with\nthe randomized response as the outcome and logistic regression\nwith the randomized response item as a predictor. In addition,\ntools for conducting power analysis for designing randomized\nresponse items are included. 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