{ "_id": "6a1f07beb401979e7341bf53", "Package": "RRreg", "Type": "Package", "Title": "Correlation and Regression Analyses for Randomized Response Data", "Version": "0.7.6", "Date": "2025-07-22", "Authors@R": "c(person(\"Daniel W.\", \"Heck\", \nemail = \"daniel.heck@uni-marburg.de\",\nrole = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0002-6302-9252\")),\nperson(\"Morten\", \"Moshagen\",\nemail = \"morten.moshagen@uni-ulm.de\",\nrole = \"ctb\"))", "Description": "Univariate and multivariate methods to analyze randomized\nresponse (RR) survey designs (e.g., Warner, S. L. (1965).\nRandomized response: A survey technique for eliminating evasive\nanswer bias. Journal of the American Statistical Association,\n60, 63–69, ). Besides univariate estimates\nof true proportions, RR variables can be used for correlations,\nas dependent variable in a logistic regression (with or without\nrandom effects), or as predictors in a linear regression (Heck,\nD. W., & Moshagen, M. (2018). RRreg: An R package for\ncorrelation and regression analyses of randomized response\ndata. Journal of Statistical Software, 85(2), 1–29,\n). For simulations and the\nestimation of statistical power, RR data can be generated\naccording to several models. The implemented methods also allow\nto test the link between continuous covariates and dishonesty\nin cheating paradigms such as the coin-toss or dice-roll task\n(Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis\nof cheating paradigms. Behavior Research Methods, 49, 724–732,\n).", "License": "GPL-3", "Encoding": "UTF-8", "LazyLoad": "yes", "URL": "https://github.com/danheck/RRreg", "VignetteBuilder": "knitr, R.rsp", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake make", "Repository": "https://danheck.r-universe.dev", "Date/Publication": "2025-07-22 12:55:09 UTC", "RemoteUrl": "https://github.com/danheck/rrreg", "RemoteRef": "HEAD", "RemoteSha": "fa0eca03e2755d69c6bd30b582eab25ee0e2b5a1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-18 06:39:46 UTC", "User": "root" }, "Author": "Daniel W. Heck [cre, aut] (ORCID:\n),\nMorten Moshagen [ctb]", "Maintainer": "Daniel W. 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