{ "_id": "6a1bd4301d7bb097a0a150a2", "Package": "miniLNM", "Title": "Miniature Logistic-Normal Multinomial Models", "Version": "0.1.0", "Authors@R": "person(\"Kris\", \"Sankaran\", , \"ksankaran@wisc.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9415-1971\"))", "Description": "Logistic-normal Multinomial (LNM) models are common in\nproblems with multivariate count data. This package gives a\nsimple implementation with a 30 line 'Stan' script. This\nlightweight implementation makes it an easy starting point for\nother projects, in particular for downstream tasks that require\nanalysis of \"compositional\" data. It can be applied whenever a\nmultinomial probability parameter is thought to depend linearly\non inputs in a transformed, log ratio space. Additional\nutilities make it easy to inspect, create predictions, and draw\nsamples using the fitted models. More about the LNM can be\nfound in Xia et al. (2013) \"A Logistic Normal Multinomial\nRegression Model for Microbiome Compositional Data Analysis\"\n and Sankaran and Holmes (2023)\n\"Generative Models: An Interdisciplinary Perspective\"\n.", "License": "CC0", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Biarch": "true", "SystemRequirements": "GNU make", "BugReports": "https://github.com/krisrs1128/miniLNM/issues/", "URL": "https://github.com/krisrs1128/miniLNM/,\nhttps://krisrs1128.github.io/miniLNM/", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make", "Repository": "https://krisrs1128.r-universe.dev", "Date/Publication": "2024-09-11 17:34:46 UTC", "RemoteUrl": "https://github.com/krisrs1128/minilnm", "RemoteRef": "HEAD", "RemoteSha": "57571dad4a7b3afc17588c91f2b920677383c619", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-31 06:06:43 UTC", "User": "root" }, "Author": "Kris Sankaran [aut, cre] (ORCID:\n)", "Maintainer": "Kris Sankaran ", 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