{ "_id": "6acb66c3fe5cc25786e8f5ce", "Package": "aphylo", "Title": "Statistical Inference and Prediction of Annotations in\nPhylogenetic Trees", "Authors@R": "c(person(\"George\", \"Vega Yon\", role=c(\"aut\",\"cre\"),\nemail=\"g.vegayon@gmail.com\", comment = c(ORCID = \"0000-0002-3171-0844\")),\nperson(\"National\nCancer Institute (NCI)\", role = \"fnd\", comment = \"Grant Number\n5P01CA196569-02\"),\nperson(\"USC Biostatistics\", role = \"cph\")\n)", "Version": "0.3-6", "Description": "Implements a parsimonious evolutionary model to analyze\nand predict gene-functional annotations in phylogenetic trees\nas described in Vega Yon et al. (2021)\n. Focusing on computational\nefficiency, 'aphylo' makes it possible to estimate pooled\nphylogenetic models, including thousands (hundreds) of\nannotations (trees) in the same run. The package also provides\nthe tools for visualization of annotated phylogenies,\ncalculation of posterior probabilities (prediction) and\ngoodness-of-fit assessment featured in Vega Yon et al. 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