{ "_id": "6ad576894a34890ab4938646", "Package": "bayesTLS", "Title": "Joint Bayesian 4PL Models for Thermal Load Sensitivity", "Version": "1.1.0", "Authors@R": "c(\nperson(\"Daniel W. A.\", \"Noble\",\nemail = \"daniel.noble@anu.edu.au\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Pieter A.\", \"Arnold\", role = \"aut\"),\nperson(\"Shinichi\", \"Nakagawa\", role = \"aut\"),\nperson(\"Patrice\", \"Pottier\",\nemail = \"patrice.pottier@bioenv.gu.se\",\nrole = \"aut\"))", "Description": "Fits joint Bayesian four-parameter logistic (4PL) models\nto thermal-tolerance proportion data, extracts the classical\nthermal load sensitivity quantities (z, CTmax at 1 hour,\nT_crit) with full posterior uncertainty, and predicts\nheat-injury accumulation and survival under fluctuating\ntemperature regimes with optional Sharpe-Schoolfield repair.\nModels are fitted with 'Stan' via the 'brms' package.\nImplements the framework described in Noble, Arnold, Nakagawa\nand Pottier (2026; bioRxiv). \\doi{10.64898/2026.07.16.738378}.", "License": "CC BY 4.0", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "URL": "https://github.com/daniel1noble/bayesTLS,\nhttps://www.biorxiv.org/content/10.64898/2026.07.16.738378v1", "BugReports": "https://github.com/daniel1noble/bayesTLS/issues", "Additional_repositories": "https://stan-dev.r-universe.dev", "Config/testthat/edition": "3", "LazyData": "true", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://daniel1noble.r-universe.dev", "Date/Publication": "2026-10-19 00:26:05 UTC", "RemoteUrl": "https://github.com/daniel1noble/bayestls", "RemoteRef": "HEAD", "RemoteSha": "7cdc07b7ca83301a7bb0e849b61cc921f87c6c26", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-19 01:39:50 UTC", "User": "root" }, "Author": "Daniel W. 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