{ "_id": "6a182b60acfb0bcc41db57ba", "Package": "enmpa", "Title": "Ecological Niche Modeling using Presence-Absence Data", "Version": "0.2.4", "Authors@R": "c(\nperson(\"Luis F.\", \"Arias-Giraldo\", email = \"lfarias.giraldo@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4861-8064\")),\nperson(\"Marlon E.\", \"Cobos\", email = \"manubio13@gmail.com\",\nrole = \"aut\", comment = c(ORCID = \"0000-0002-2611-1767\")),\nperson(\"A. Townsend\", \"Peterson\", email = \"town@ku.edu\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-0243-2379\"))\n)", "Maintainer": "Luis F. Arias-Giraldo ", "Date": "2026-05-28", "Description": "A set of tools to perform Ecological Niche Modeling with\npresence-absence data. It includes algorithms for data\npartitioning, model fitting, calibration, evaluation,\nselection, and prediction. Other functions help to explore\nsignals of ecological niche using univariate and multivariate\nanalyses, and model features such as variable response curves\nand variable importance. Unique characteristics of this package\nare the ability to exclude models with concave quadratic\nresponses, and the option to clamp model predictions to\nspecific variables. These tools are implemented following\nprinciples proposed in Cobos et al., (2022)\n, Cobos et al., (2019)\n, and Peterson et al., (2008)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "8.0.0", "URL": "https://github.com/Luisagi/enmpa", "BugReports": "https://github.com/Luisagi/enmpa/issues", "LazyData": "true", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libproj-dev\nlibsqlite3-dev", "Repository": "https://luisagi.r-universe.dev", "Date/Publication": "2026-05-28 08:41:51 UTC", "RemoteUrl": "https://github.com/luisagi/enmpa", "RemoteRef": "HEAD", "RemoteSha": "077ad2e3e69c0f0a9b71fcee2593b236e06ba34b", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-28 11:39:58 UTC", "User": "root" }, "Author": "Luis F. Arias-Giraldo [aut, cre] (ORCID:\n),\nMarlon E. Cobos [aut] (ORCID: ),\nA. 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