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Each amino\nacid can be treated as an individual state, resulting in a\n20-state entropy computation, or grouped into one of six\nphysicochemical classes, adding further functional context.\nProvides normalized values (0-1 scale) to facilitate the direct\ncomparison of different genomic positions or total functional\nentropy across multiple metagenomes. Designed to analyze\nmutational data using tabular 'Single Nucleotide Variant' (SNV)\nfrequency tables generated by variant callers (e.g., 'iVar' or\n'LoFreq'), operating independently of consensus sequence\nestimation and multiple sequence alignment.", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.3", "License": "MIT + file LICENSE", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-07 07:16:53 UTC", "User": "root" }, "Author": "Leandro Roberto Jones [aut, cre] (ORCID:\n), Julieta Marina\nManrique [aut] (ORCID: )", "Maintainer": "Leandro Roberto Jones ", "Repository": "https://jones-lr.r-universe.dev", "Date/Publication": "2026-03-09 20:55:01 UTC", "RemoteUrl": "https://github.com/cran/MetaEntropy", "RemoteRef": "HEAD", "RemoteSha": "c5c462a7f44b45f74a8ce57b31062c84a1ec2dd1", "MD5sum": "71354562b5e87c3ad813ab3a1ca5e8ca", "_user": "jones-lr", "_type": "src", "_file": "MetaEntropy_1.3.tar.gz", "_fileid": 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