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  "Title": "Bayesian Distributed Lag Model Fitting for Binary and Count\nResponse Data",
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  "Authors@R": "c(person(given = \"Daniel\", family = \"Dempsey\", email = \"daniel.dempsey0@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-0899-5412\")),\nperson(given = \"Jason\", family = \"Wyse\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-1391-7371\")),\nperson(given = \"Christian E.\", family = \"Galarza\", role = \"ctb\",\ncomment = \"Author of the ald package, which this package derives some code from (see the COPYRIGHT file in the inst folder).\"),\nperson(given = \"Victor H.\", family = \"Lachos\", role = \"ctb\",\ncomment = \"Author of the ald package, which this package derives some code from (see the COPYRIGHT file in the inst folder).\"))",
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  "Description": "Tools for fitting Bayesian Distributed Lag Models (DLMs)\nto longitudinal response data that is a count or binary. Count\ndata is fit using negative binomial regression and binary is\nfit using quantile regression. The contribution of the lags are\nfit via b-splines. In addition, infers the predictor inclusion\nuncertainty. Multimomial models are not supported. Based on\nDempsey and Wyse (2025) <doi:10.48550/arXiv.2403.03646>.",
  "License": "GPL-3",
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  "Date/Publication": "2025-02-06 01:50:58 UTC",
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