{ "_id": "6acf540cd9de2f3f33fcb159", "Package": "whoa", "Type": "Package", "Title": "Evaluation of Genotyping Error in Genotype-by-Sequencing Data", "Version": "0.0.2", "Authors@R": "c(\nperson(given = c(\"Eric\", \"C.\"), family = \"Anderson\", email = \"eric.anderson@noaa.gov\", role = c(\"aut\", \"cre\"))\n)", "Maintainer": "Eric C. Anderson ", "Description": "This is a small, lightweight package that lets users\ninvestigate the distribution of genotypes in\ngenotype-by-sequencing (GBS) data where they expect (by and\nlarge) Hardy-Weinberg equilibrium, in order to assess rates of\ngenotyping errors and the dependence of those rates on read\ndepth. It implements a Markov chain Monte Carlo (MCMC) sampler\nusing 'Rcpp' to compute a Bayesian estimate of what we call the\nheterozygote miscall rate for restriction-associated digest\n(RAD) sequencing data and other types of reduced representation\nGBS data. It also provides functions to generate plots of\nexpected and observed genotype frequencies. Some background on\nthese topics can be found in a recent paper \"Recent advances in\nconservation and population genomics data analysis\" by\nHendricks et al. (2018) , and another\npaper describing the MCMC approach is in preparation with\nGordon Luikart and Thierry Gosselin.", "License": "CC0", "Encoding": "UTF-8", "LazyData": "TRUE", "RoxygenNote": "7.1.1", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://eriqande.r-universe.dev", "Date/Publication": "2021-08-09 22:55:58 UTC", "RemoteUrl": "https://github.com/eriqande/whoa", "RemoteRef": "HEAD", "RemoteSha": "831f589d21e7ed2ad34ae46eff635dbab95c4271", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-14 09:38:55 UTC", "User": "root" }, "Author": "Eric C. 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