{ "_id": "6a2545064b233be19839a980", "Package": "CASCORE", "Type": "Package", "Title": "Covariate Assisted Spectral Clustering on Ratios of Eigenvectors", "Version": "0.1.2", "Author": "Yaofang Hu [aut, cre], Wanjie Wang [aut]", "Maintainer": "Yaofang Hu ", "Description": "Functions for implementing the novel algorithm CASCORE,\nwhich is designed to detect latent community structure in\ngraphs with node covariates. This algorithm can handle models\nsuch as the covariate-assisted degree corrected stochastic\nblock model (CADCSBM). CASCORE specifically addresses the\ndisagreement between the community structure inferred from the\nadjacency information and the community structure inferred from\nthe covariate information. For more detailed information,\nplease refer to the reference paper: Yaofang Hu and Wanjie Wang\n(2022) . In addition to CASCORE, this package\nincludes several classical community detection algorithms that\nare compared to CASCORE in our paper. These algorithms are:\nSpectral Clustering On Ratios-of Eigenvectors (SCORE),\nnormalized PCA, ordinary PCA, network-based clustering,\ncovariates-based clustering and covariate-assisted spectral\nclustering (CASC). By providing these additional algorithms,\nthe package enables users to compare their performance with\nCASCORE in community detection tasks.", "License": "GPL-2", "Encoding": "UTF-8", "URL": "https://arxiv.org/abs/2306.15616", "Authors@R": "c(person(\"Yaofang\", \"Hu\", role=c(\"aut\", \"cre\"), email = \"yaofangh@smu.edu\"),\nperson(\"Wanjie\", \"Wang\", role=c(\"aut\"), email = \"staww@nus.edu.sg\"))", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-07 10:13:47 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-07-02 04:00:02 UTC", "RemoteUrl": "https://github.com/cran/CASCORE", "RemoteRef": "HEAD", "RemoteSha": "5d821b4c3cccb402d120b2722af8a9b441f235a1", "MD5sum": "b54eb2dbd131ddf77576850100ec3cd8", "_user": "cran", "_type": "src", "_file": "CASCORE_0.1.2.tar.gz", "_fileid": "02299f1a6a134775ce3ec8f5f8490a1ebd3502af59036b2f28c8c859a0494ac6", "_filesize": 149086, "_sha256": 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