{ "_id": "6a1e9dba1d7bb097a0a6f4c5", "Package": "countSTAR", "Type": "Package", "Title": "Flexible Modeling of Count Data", "Version": "1.2.0", "Authors@R": "c(\nperson(given=\"Brian\", family=\"King\", email = \"brianking387@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given=\"Dan\", family = \"Kowal\", email = \"daniel.r.kowal@gmail.com\", role = \"aut\"))", "Description": "For Bayesian and classical inference and prediction with\ncount-valued data, Simultaneous Transformation and Rounding\n(STAR) Models provide a flexible, interpretable, and\neasy-to-use approach. STAR models the observed count data using\na rounded continuous data model and incorporates a\ntransformation for greater flexibility. Implicitly, STAR\nformalizes the commonly-applied yet incoherent procedure of (i)\ntransforming count-valued data and subsequently (ii) modeling\nthe transformed data using Gaussian models. STAR is\nwell-defined for count-valued data, which is reflected in\npredictive accuracy, and is designed to account for\nzero-inflation, bounded or censored data, and over- or\nunderdispersion. Importantly, STAR is easy to combine with\nexisting MCMC or point estimation methods for continuous data,\nwhich allows seamless adaptation of continuous data models\n(such as linear regressions, additive models, BART, random\nforests, and gradient boosting machines) for count-valued data.\nThe package also includes several methods for modeling count\ntime series data, namely via warped Dynamic Linear Models. For\nmore details and background on these methodologies, see the\nworks of Kowal and Canale (2020) ,\nKowal and Wu (2022) , King and Kowal\n(2023) , and Kowal and Wu (2023)\n.", "License": "GPL (>=2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "URL": "https://bking124.github.io/countSTAR/\nhttps://github.com/bking124/countSTAR", "BugReports": "https://github.com/bking124/countSTAR/issues", "LazyData": "true", "Repository": "https://bking124.r-universe.dev", "Date/Publication": "2026-04-03 20:09:07 UTC", "RemoteUrl": "https://github.com/bking124/countstar", "RemoteRef": "HEAD", "RemoteSha": "bf68c18ebe68b79431a8180906b19a7b6b16a7dc", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-02 09:03:45 UTC", "User": "root" }, "Author": "Brian King [aut, cre],\nDan Kowal [aut]", "Maintainer": "Brian King ", "MD5sum": "fc8182254ba6534c531a665ad7d14475", "_user": "bking124", "_type": "src", "_file": "countSTAR_1.2.0.tar.gz", "_fileid": 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