{ "_id": "6a1ed712b401979e7340ec90", "Package": "bayescount", "Version": "1.0.0-9", "Date": "2017-03-20", "Title": "Statistical Analyses and Power Calculations for Count Data and\nFaecal Egg Count Reduction Tests (FECRT)", "Authors@R": "c(person(\"Matthew\", \"Denwood\", role=c(\"aut\",\"cre\"), email=\"md@sund.ku.dk\"),\nperson(\"Bob\", \"Wheeler\", role=\"cph\", comment=\"Copyright holder of the code in /src/dists.*\"))", "VignetteBuilder": "knitr", "Description": "Power calculations and hypothesis testing for the\ndifference in mean of two negative binomial distributions A set\nof functions to allow analysis of count data (such as faecal\negg count data) using Bayesian MCMC methods. Returns\ninformation on the possible values for mean count, coefficient\nof variation and zero inflation (true prevalence) present in\nthe data. A complete faecal egg count reduction test (FECRT)\nmodel is implemented, which returns inference on the true\nefficacy of the drug from the pre- and post-treatment data\nprovided, using non-parametric bootstrapping as well as using\nBayesian MCMC. Functions to perform power analyses for faecal\negg counts (including FECRT) are also provided. A working\ninstallation of JAGS () is\nrequired for MCMC-based methods", "License": "GPL-2", "URL": "http://bayescount.sourceforge.net", "RoxygenNote": "6.1.1", "Config/pak/sysreqs": "jags", "Repository": "https://mdenwood.r-universe.dev", "Date/Publication": "2019-10-16 18:43:04 UTC", "RemoteUrl": "https://github.com/mdenwood/bayescount", "RemoteRef": "HEAD", "RemoteSha": "a9906dcb6d8fcf1563df5591d1bf325c742e7935", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-20 10:06:44 UTC", "User": "root" }, "Author": "Matthew Denwood [aut, cre],\nBob Wheeler [cph] (Copyright holder of the code in /src/dists.*)", "Maintainer": "Matthew Denwood ", "MD5sum": "eecfb25eee2e6dcd10f331cc44f7929f", "_user": "mdenwood", "_type": "src", "_file": "bayescount_1.0.0-9.tar.gz", "_fileid": "627dc20fa4b02b6f3a4544d3a6c102709ff019f928ebaa29d2ec2c2e85b3c185", "_filesize": 2808915, "_sha256": "627dc20fa4b02b6f3a4544d3a6c102709ff019f928ebaa29d2ec2c2e85b3c185", "_created": "2026-05-20T10:06:44.000Z", 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