{ "_id": "6a10461eacfb0bcc41c9ea35", "Package": "skewlmm", "Type": "Package", "Title": "Scale Mixture of Skew-Normal Linear Mixed Models", "Version": "1.1.3", "Authors@R": "c(person(\"Fernanda L.\", \"Schumacher\", role = c(\"aut\", \"cre\"),\nemail = \"fernandalschumacher@gmail.com\",\ncomment = c(ORCID = \"0000-0002-5724-8918\")),\nperson(\"Larissa A.\", \"Matos\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2635-0901\")),\nperson(\"Victor H.\", \"Lachos\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-7239-2459\")),\nperson(\"Katherine A.\", \"L. Valeriano\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6388-4753\")),\nperson(\"Nicholas\", \"Henderson\", role = \"ctb\"),\nperson(\"Ravi\", \"Varadhan\", role = \"ctb\"))", "Maintainer": "Fernanda L. Schumacher ", "Description": "It fits scale mixture of skew-normal linear mixed models\nusing either an expectation–maximization (EM) type algorithm or\nits accelerated version (Damped Anderson Acceleration with\nEpsilon Monotonicity, DAAREM), including some possibilities for\nmodeling the within-subject dependence. 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