{ "_id": "6a101349acfb0bcc41c83540", "Package": "csmGmm", "Type": "Package", "Title": "Conditionally Symmetric Multidimensional Gaussian Mixture Model", "Version": "0.4.0", "Authors@R": "c(person(\"Ryan\", \"Sun\", email = \"ryansun.work@gmail.com\", role = c(\"aut\", \"cre\")))", "Description": "Implements the conditionally symmetric multidimensional\nGaussian mixture model (csmGmm) for large-scale testing of\ncomposite null hypotheses in genetic association applications\nsuch as mediation analysis, pleiotropy analysis, and\nreplication analysis. In such analyses, we typically have J\nsets of K test statistics where K is a small number (e.g. 2 or\n3) and J is large (e.g. 1 million). For each one of the J sets,\nwe want to know if we can reject all K individual nulls. Please\nsee the vignette for a quickstart guide. The paper describing\nthese methods is \"Testing a Large Number of Composite Null\nHypotheses Using Conditionally Symmetric Multidimensional\nGaussian Mixtures in Genome-Wide Studies\" by Sun R, McCaw Z, &\nLin X (Journal of the American Statistical Association 2025,\n).", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-15 05:48:25 UTC", "User": "root" }, "Author": "Ryan Sun [aut, cre]", "Maintainer": "Ryan Sun ", "Repository": "https://ryansunwork.r-universe.dev", "Date/Publication": "2025-09-16 21:40:02 UTC", "RemoteUrl": "https://github.com/cran/csmGmm", "RemoteRef": "HEAD", "RemoteSha": "35f116a0eab968929594eab9d5e6b6fb401b3e60", "MD5sum": "36c0d77e54a8eeec5696ed3920180207", "_user": "ryansunwork", "_type": "src", "_file": "csmGmm_0.4.0.tar.gz", "_fileid": "9cb822a2358bd663f6dd55ba1f848b7495e3159b862d4efa92eb06cd5e58744d", "_filesize": 135261, "_sha256": "9cb822a2358bd663f6dd55ba1f848b7495e3159b862d4efa92eb06cd5e58744d", "_created": "2026-05-15T05:48:25.000Z", "_published": "2026-05-22T08:26:49.951Z", "_distro": "noble", "_jobs": [ { "job": 77343508048, "time": 142, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7010944729" }, { "job": 77343507922, "time": 142, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7010944694" }, { "job": 77343508297, "time": 135, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7011131693" }, { "job": 77343507699, "time": 104, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7011092112" }, { "job": 77343507567, "time": 234, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7010916337" }, { "job": 77343507382, "time": 100, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7156118619" }, { "job": 77343507804, "time": 92, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7010934953" }, { "job": 77343507888, "time": 96, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7010935597" }, { "job": 77343508372, "time": 106, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7010937781" } ], "_buildurl": "https://github.com/r-universe/ryansunwork/actions/runs/25902504908", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/csmGmm", "_commit": { "id": "35f116a0eab968929594eab9d5e6b6fb401b3e60", "author": "Ryan Sun ", "committer": "cran-robot ", "message": "version 0.4.0\n", "time": 1758058802 }, "_maintainer": { "name": "Ryan Sun", "email": "ryansun.work@gmail.com", "login": "ryansunwork", "uuid": 53724996 }, "_registered": true, "_dependencies": [ { "package": "dplyr", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-38", "n": 1 } ], "_tags": [ { "name": "0.4.0", "date": "2025-09-16" } ], "_stars": 0, "_contributors": [ { "user": "ryansunwork", "count": 2, "uuid": 53724996 } ], "_userbio": { "uuid": 53724996, "type": "user", "name": "ryansunwork" }, "_downloads": { "count": 521, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/csmGmm" }, "_searchresults": 135, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/csmGmm.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_realowner": "ryansunwork", "_cranurl": false, "_releases": [ { "version": "0.3.0", "date": "2024-12-03" }, { "version": "0.4.0", "date": "2025-09-16" } ], "_exports": [ "calc_dens_cor", "calc_dens_ind_2d", "calc_dens_ind_3d", "calc_dens_ind_multiple", "check_incongruous", "find_2d", "find_3d", "find_max_means", "symm_fit_cor_EM", "symm_fit_cor_EM_fulllik", "symm_fit_cor_EM_noAssumption", "symm_fit_cor_EM_rho", "symm_fit_ind_EM", "symm_fit_ind_EM_noAssumption" ], "_help": [ { "page": "calc_dens_cor", "title": "calc_dens_cor.R", "topics": [ "calc_dens_cor" ] }, { "page": "calc_dens_ind_2d", "title": "calc_dens_ind.R", "topics": [ "calc_dens_ind_2d" ] }, { "page": "calc_dens_ind_3d", "title": "Calculate J trivariate normal densities (all dimensions are independent) under fitted csmGmm.", "topics": [ "calc_dens_ind_3d" ] }, { "page": "calc_dens_ind_multiple", "title": "Calculate the density of K-dimensional multivariate normal (all dimensions are independent) under fitted acsGmm.", "topics": [ "calc_dens_ind_multiple" ] }, { "page": "check_incongruous", "title": "check_incongruous.R", "topics": [ "check_incongruous" ] }, { "page": "find_2d", "title": "Tells if row x if allTestStats is an incongruous result (has a higher lfdr than a set of test statistics with lower magnitudes). For K=2 case.", "topics": [ "find_2d" ] }, { "page": "find_3d", "title": "Tells if row x if allTestStats is an incongruous result (has a higher lfdr than a set of test statistics with lower magnitudes). 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