{ "_id": "6a2aa0de7b7a29ca60052b16", "Package": "mlts", "Title": "Multilevel Latent Time Series Models with 'R' and 'Stan'", "Version": "2.0.1.9000", "Authors@R": "c(\nperson(\"Kenneth\", \"Koslowski\", email = \"kenneth.koslowski@uni-leipzig.de\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID=\"0000-0001-5296-5267\")),\nperson(\"Fabian\", \"Münch\", email = \"fabian.felix.muench@uni-jena.de\", role = \"aut\",\ncomment = c(ORCID=\"0000-0001-5591-9901\")),\nperson(\"Tobias\", \"Koch\", email = \"tobias.koch@uni-jena.de\", role = \"aut\",\ncomment = c(ORCID=\"0000-0002-8143-3566\")),\nperson(\"Jana\", \"Holtmann\", email = \"jana.holtmann@uni-leipzig.de\", role = \"aut\",\ncomment = c(ORCID=\"0000-0002-7949-0772\"))\n)", "Description": "Fit multilevel manifest or latent time-series models,\nincluding popular Dynamic Structural Equation Models (DSEM).\nThe models can be set up and modified with user-friendly\nfunctions and are fit to the data using 'Stan' for Bayesian\ninference. 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