{ "_id": "6a21b137cd65a98ecbd39b8c", "Package": "tamd", "Type": "Package", "Title": "Transcendental Algorithm for Mixtures of Distributions", "Version": "1.0.2", "Date": "2026-05-31", "Authors@R": "person(\ngiven = \"Ernest\",\nfamily = \"Fokoue\",\nrole = c(\"aut\", \"cre\"),\nemail = \"epfeqa@rit.edu\")", "Maintainer": "Ernest Fokoue ", "Description": "Implements the Transcendental Algorithm for Mixtures of\nDistributions (TAMD), a penalized likelihood framework for\nfitting finite Gaussian mixture models. TAMD augments the\nExpectation-Maximization (EM) algorithm with analytic barrier\nterms built from the Hellinger affinity that diverge on the\nsingular locus, actively preventing component coalescence and\nweight degeneracy. Provides the core TAMD fitting function,\nclosed-form Hellinger affinity and gradient computations, the\nTranscendental Affinity Criterion (TAC) for geometry-aware\nmodel selection, the regularity index rho (a scalar diagnostic\nfor mixture fit quality), and reproduction scripts for all\nsimulation studies. Methods are described in Fokoue (2024)\n. See also Titterington, Smith\nand Makov (1985, ISBN:0-471-90510-4) and Watanabe (2009,\nISBN:978-0-521-86408-7).", "License": "GPL-3", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 17:06:13 UTC", "User": "root" }, "Author": "Ernest Fokoue [aut, cre]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-04 14:12:36 UTC", "RemoteUrl": "https://github.com/cran/tamd", "RemoteRef": "HEAD", "RemoteSha": "dd31d14bb577dbfb28320d20f6762174fa99ea91", "MD5sum": "2386aaf0ecfd6b8d32e15d02ad16684c", "_user": "cran", "_type": "src", "_file": "tamd_1.0.2.tar.gz", "_fileid": "d41f44052073a896f3d4dc312358982d415d798b4292ba6deaeac17bd3f36f08", "_filesize": 276557, "_sha256": "d41f44052073a896f3d4dc312358982d415d798b4292ba6deaeac17bd3f36f08", "_created": "2026-06-04T17:06:13.000Z", "_published": "2026-06-04T17:09:11.543Z", "_distro": "noble", "_jobs": [ { "job": 79572641925, "time": 106, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", 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