{ "_id": "6a2004f2b401979e73446477", "Package": "RARfreq", "Type": "Package", "Title": "Response Adaptive Randomization with 'Frequentist' Approaches", "Version": "0.1.5", "Authors@R": "c(person(\"Mengjia\", \"Yu\", role = c(\"aut\"),\nemail = \"mengjia.yu.uiuc@gmail.com\"),\nperson(\"Xiu\", \"Huang\", role = c(\"aut\", \"cre\"),\nemail = \"xiu.huang@aya.yale.edu\"),\nperson(\"Li\", \"Wang\", role = c(\"aut\"),\nemail = \"wangleelee@gmail.com\"),\nperson(\"Hongjian\", \"Zhu\", role = \"aut\",\nemail = \"hz5n@virginia.edu\"))", "Description": "Provides functions and command-line user interface to\ngenerate allocation sequence by response-adaptive randomization\nfor clinical trials. The package currently supports two\nfamilies of frequentist response-adaptive randomization\nprocedures, Doubly Adaptive Biased Coin Design ('DBCD') and\nSequential Estimation-adjusted Urn Model ('SEU'), for binary\nand normal endpoints. One-sided proportion (or mean) difference\nand Chi-square (or 'ANOVA') hypothesis testing methods are also\navailable in the package to facilitate the inference for\ntreatment effect. Additionally, the package provides\ncomprehensive and efficient tools to allow one to evaluate and\ncompare the performance of randomization procedures and tests\nbased on various criteria. For example, plots for relationship\namong assumed treatment effects, sample size, and power are\nprovided. Five allocation functions for 'DBCD' and six addition\nrule functions for 'SEU' are implemented to target allocations\nsuch as 'Neyman', 'Rosenberger' Rosenberger et al. 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