{ "_id": "6ae768819ceaa78f2009a090", "Package": "LEA", "Title": "LEA: an R package for Landscape and Ecological Association\nStudies", "Version": "3.25.0", "Date": "2025-11-3", "Author": "Eric Frichot , Olivier Francois\n, Clement Gain\n", "Maintainer": "Olivier Francois ", "Description": "LEA is an R package dedicated to population genomics,\nlandscape genomics and genotype-environment association tests.\nLEA can run analyses of population structure and genome-wide\ntests for local adaptation, and also performs imputation of\nmissing genotypes. The package includes statistical methods for\nestimating ancestry coefficients from large genotypic matrices\nand for evaluating the number of ancestral populations (snmf).\nIt performs statistical tests using latent factor mixed models\nfor identifying genetic polymorphisms that exhibit association\nwith environmental gradients or phenotypic traits (lfmm2). In\naddition, LEA computes values of genetic offset statistics\nbased on new or predicted environments (genetic.gap,\ngenetic.offset). LEA is mainly based on optimized programs that\ncan scale with the dimensions of large data sets.", "License": "GPL-3", "biocViews": "Software, Statistical Method, Clustering, Regression", "URL": "http://membres-timc.imag.fr/Olivier.Francois/lea.html", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-11-01 13:53:53 UTC", "User": "root" }, "VignetteBuilder": "knitr", "RoxygenNote": "6.0.1", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:40:47 UTC", "RemoteUrl": "https://github.com/bioc/LEA", "RemoteRef": "HEAD", "RemoteSha": "89a169585b63bf4b1a6672262f5ebe31e9a0601d", "_user": "bioc", "_type": "src", "_file": "LEA_3.25.0.tar.gz", "_fileid": "https://r2.ropensci.org/d443b24466a9c7b802e3ff2486599f48d9108b1ee81b9aa171d3c7847353d9cc", "_filesize": 1024914, "_sha256": "d443b24466a9c7b802e3ff2486599f48d9108b1ee81b9aa171d3c7847353d9cc", "_expires": "2027-02-09T16:27:43.000Z", "_created": "2026-11-01T13:53:53.000Z", "_published": 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}, { "page": "main_crossEntropyEstimation", "title": "compute the cross-entropy criterion", "topics": [ "cross.entropy.estimation" ] }, { "page": "env", "title": "Environmental input file format for 'lfmm'", "topics": [ "env" ] }, { "page": "G", "title": "Ancestral allele frequencies from a snmf run", "topics": [ "G" ] }, { "page": "genetic_gap", "title": "Genetic gap: genetic offset and genetic distance between environments.", "topics": [ "genetic.gap" ] }, { "page": "genetic_offset", "title": "Genetic offset and genetic distance between environments.", "topics": [ "genetic.offset" ] }, { "page": "geno", "title": "Input file for 'snmf'", "topics": [ "example_geno", "geno" ] }, { "page": "geno2lfmm", "title": "Convert from 'geno' to 'lfmm' format", "topics": [ "geno2lfmm" ] }, { "page": "impute", "title": "Impute missing genotypes using an snmf object", "topics": [ "impute" ] }, { "page": "main_LFMM", "title": "Fitting Latent Factor Mixed Models (MCMC algorithm)", "topics": [ 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