{ "_id": "6a10249bacfb0bcc41c8dd66", "Package": "gtexture", "Title": "Generalized Application of Co-Occurrence Matrices and Haralick\nTexture", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Rowan\", \"Barker-Clarke\", , \"rowanbarkerclarke@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1961-7919\")),\nperson(\"Raoul\", \"Wadhwa\", , \"raoulwadhwa@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0503-9580\")),\nperson(\"Davis\", \"Weaver\", role = \"aut\"),\nperson(\"Jacob\", \"Scott\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-2971-7673\"))\n)", "Description": "Generalizes application of gray-level co-occurrence matrix\n(GLCM) metrics to objects outside of images. The current focus\nis to apply GLCM metrics to the study of biological networks\nand fitness landscapes that are used in studying evolutionary\nmedicine and biology, particularly the evolution of cancer\nresistance. The package was used in our publication,\nBarker-Clarke et al. (2023) . A\ngeneral reference to learn more about mathematical oncology can\nbe found at Rockne et al. (2019)\n.", "License": "MIT + file LICENSE", "URL": "https://rbarkerclarke.github.io/gtexture/", "BugReports": "https://github.com/rbarkerclarke/gtexture/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibfribidi-dev libglpk-dev make libharfbuzz-dev libicu-dev\nlibpng-dev libuv1-dev libxml2-dev libssl-dev libx11-dev\nzlib1g-dev", "Repository": "https://rbarkerclarke.r-universe.dev", "Date/Publication": "2025-09-02 00:04:21 UTC", "RemoteUrl": "https://github.com/rbarkerclarke/gtexture", "RemoteRef": "HEAD", "RemoteSha": "b72bb9d75156c32506046a691a0e744aba292ad1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-13 09:54:57 UTC", "User": "root" }, "Author": "Rowan Barker-Clarke [aut, cre] (ORCID:\n),\nRaoul Wadhwa [aut] (ORCID: ),\nDavis Weaver [aut],\nJacob Scott [aut] (ORCID: )", "Maintainer": "Rowan Barker-Clarke ", "MD5sum": "5b76a41ad31b70d2e696b37b9e4fa386", "_user": 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"rbarkerclarke", "orcid": "0000-0003-1961-7919", "twitter": "@mathevorowan", "uuid": 79109185 }, "_registered": true, "_dependencies": [ { "package": "dlookr", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.0", "role": "Imports" }, { "package": "fitscape", "version": ">= 0.1", "role": "Imports" }, { "package": "igraph", "role": "Imports" }, { "package": "magrittr", "version": ">= 2.0", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "stats", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "rbarkerclarke", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-36", "n": 5 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "rrrlw", "count": 40, "uuid": 6846515 }, { "user": "rbarkerclarke", "count": 38, "uuid": 79109185 }, { "user": "davisweaver", "count": 7, "uuid": 20169425 } ], "_userbio": { "uuid": 79109185, "type": "user", "name": "Rowan" }, 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"GLCM Metrics", "topics": [ "glcm_metrics", "glcm_variance", "xplusy_k" ] }, { "page": "homogeneity", "title": "Homogeneity Metric for a GLCM", "topics": [ "homogeneity", "homogeneity.default", "homogeneity.FitLandDF", "homogeneity.matrix" ] }, { "page": "inv_diff", "title": "Inverse Difference Metric for a GLCM", "topics": [ "inv_diff", "inv_diff.default", "inv_diff.FitLandDF", "inv_diff.matrix" ] }, { "page": "kmeans_discrete", "title": "Kmeans clustering discretization Splitting of a vector of continuous values into k groups function to discretize using kmeans", "topics": [ "kmeans_discrete" ] }, { "page": "manhattan", "title": "Manhattan Distance Function Factory", "topics": [ "manhattan" ] }, { "page": "max_prob", "title": "Maximum Probability Metric for a GLCM", "topics": [ "max_prob", "max_prob.default", "max_prob.FitLandDF", "max_prob.matrix" ] }, { "page": "normalize_glcm", "title": "Normalize a GLCM", "topics": [ "normalize_glcm" ] }, { "page": "quantile_discrete", "title": 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