{ "_id": "6a1f3a6fb401979e73428fae", "Package": "publipha", "Title": "Bayesian Meta-Analysis with Publications Bias and P-Hacking", "Version": "0.1.2", "Authors@R": "c(\nperson(\"Jonas\", \"Moss\", , \"jonas.gjertsen@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6876-6964\")\n),\nperson(\"Trustees of Columbia University\", role = \"cph\"))", "Description": "Tools for Bayesian estimation of meta-analysis models that\naccount for publications bias or p-hacking. For publication\nbias, this package implements a variant of the p-value based\nselection model of Hedges (1992) \nwith discrete selection probabilities. It also implements the\nmixture of truncated normals model for p-hacking described in\nMoss and De Bin (2019) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "yes", "SystemRequirements": "GNU make", "RoxygenNote": "7.3.2", "Roxygen": "list(markdown = TRUE, roclets = c(\"rd\", \"namespace\",\n\"collate\"))", "Collate": "'data-anderson2010.R' 'data-baskerville2012.R'\n'data-cuddy2018.R' 'data-dang2018.R' 'data-motyl2017.R'\n'densities-helpers.R' 'densities-mpsnorm.R'\n'densities-phnorm.R' 'densities-psnorm.R' 'densities-snorm.R'\n'ma.R' 'generics.R' 'publipha-package.R' 'stanmodels.R'\n'tools.R' 'utility.R'", "Language": "en-US", "Config/pak/sysreqs": "make", "Repository": "https://jonasmoss.r-universe.dev", "Date/Publication": "2025-03-22 15:13:10 UTC", "RemoteUrl": "https://github.com/jonasmoss/publipha", "RemoteRef": "HEAD", "RemoteSha": "4b5126ddada86f551746add0704473cf9a7109bb", "Packaged": { "Date": "2026-05-06 07:43:32 UTC", "User": "root" }, 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