{ "_id": "6ae326f595ca2370cc8cdcc7", "Package": "RoBTT", "Title": "Robust Bayesian T-Test", "Version": "1.3.1", "Maintainer": "František Bartoš ", "Authors@R": "c( \nperson(\"František\", \"Bartoš\", role = c(\"aut\", \"cre\"),\nemail = \"f.bartos96@gmail.com\", comment = c(ORCID = \"0000-0002-0018-5573\")),\nperson(\"Maximilian\", \"Maier\", role = \"aut\",\nemail = \"maximilianmaier0401@gmail.com\", comment = c(ORCID = \"0000-0002-9873-6096\")),\nperson(\"Henrik R\", \"Godmann\", role = \"aut\",\nemail = \"hrgodmann@gmail.com\", comment = c(ORCID = \"0009-0003-6410-4765\"))\n)", "Description": "An implementation of Bayesian model-averaged t-tests that\nallows users to draw inferences about the presence versus\nabsence of an effect, variance heterogeneity, and potential\noutliers. The 'RoBTT' package estimates ensembles of models\ncreated by combining competing hypotheses and applies Bayesian\nmodel averaging using posterior model probabilities. 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