{ "_id": "6a1044e8acfb0bcc41c9e58c", "Package": "mcen", "Type": "Package", "Title": "Multivariate Cluster Elastic Net", "Version": "1.2.1", "Date": "2023-03-22", "Author": "Ben Sherwood [aut, cre], Brad Price [aut]", "Maintainer": "Ben Sherwood ", "Description": "Fits the Multivariate Cluster Elastic Net (MCEN) presented\nin Price & Sherwood (2018) . The MCEN model\nsimultaneously estimates regression coefficients and a\nclustering of the responses for a multivariate response model.\nCurrently accommodates the Gaussian and binomial likelihood.", "ByteCompile": "TRUE", "License": "MIT + file LICENSE", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-11 06:14:46 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-03-22 21:10:08 UTC", "RemoteUrl": "https://github.com/cran/mcen", "RemoteRef": "HEAD", "RemoteSha": "6f2675fd90038d853bc510baedb20170ffd6be3b", "MD5sum": "80169eeff6554a6512c03261a5180b7e", "_user": "cran", "_type": "src", "_file": "mcen_1.2.1.tar.gz", "_fileid": "ca4998eea50b3e1aed7550d0e09b5057d4ce89376ae4391f6421a2b73828372f", "_filesize": 136589, "_sha256": "ca4998eea50b3e1aed7550d0e09b5057d4ce89376ae4391f6421a2b73828372f", "_created": "2026-05-11T06:14:46.000Z", "_published": "2026-05-22T11:58:32.054Z", "_distro": "noble", "_jobs": [ { "job": 77374845507, "time": 121, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "6911525680" }, { "job": 77374845479, "time": 128, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6911527261" }, { "job": 77374845426, "time": 130, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6911527763" }, { "job": 77374845114, "time": 137, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6911528961" }, { "job": 77374845086, "time": 171, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6911500349" }, { "job": 77374844639, "time": 107, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7159921254" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/25653493185", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/mcen", "_commit": { "id": "6f2675fd90038d853bc510baedb20170ffd6be3b", "author": "Ben Sherwood ", "committer": "cran-robot ", "message": "version 1.2.1\n", "time": 1679519408 }, "_maintainer": { "name": "Ben Sherwood", "email": "ben.sherwood@ku.edu" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.0.0", "role": "Depends" }, { "package": "glmnet", "role": "Depends" }, { "package": "flexclust", "role": "Depends" }, { "package": "Matrix", "role": "Depends" }, { "package": "parallel", "role": "Depends" }, { "package": "faraway", "role": "Depends" }, { "package": "methods", "role": "Depends" }, { "package": "stats", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 271, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mcen" }, "_searchresults": 8, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/mcen.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2018-06-15" }, { "version": "1.1", "date": "2020-06-22" }, { "version": "1.2", "date": "2020-07-23" }, { "version": "1.2.1", "date": "2023-03-22" } ], "_exports": [ "cluster.vals", "cv.mcen", "get_best_cvm", "mcen" ], "_help": [ { "page": "beta_adjust", "title": "Adjusts the value of the coefficients to account for the scaling of x and y.", "topics": [ "beta_adjust" ] }, { "page": "beta_adjust_bin", "title": "Adjusts the value of the binomial coefficients to account for the scaling of x.", "topics": [ "beta_adjust_bin" ] }, { "page": "bin_horse", "title": "The workhorse function for the binomial updates in mcen. It uses IRWLS glmnet updates to solve the regression problem.", "topics": [ "bin_horse" ] }, { "page": "CalcHorseBin", "title": "Creates the the working response for all responses for glmnet binomial family", "topics": [ "CalcHorseBin" ] }, { "page": "CalcHorseEBin", "title": "Creates the probabilities and working response for the glmnet update for a given response with a binomial family", "topics": [ "CalcHorseEBin" ] }, { "page": "cluster", "title": "Wrapper function for different clustering methods", "topics": [ "cluster" ] }, { "page": "cluster.vals", "title": "Returns the cluster values from a cv.mcen object.", "topics": [ "cluster.vals" ] }, { "page": "coef.cv.mcen", "title": "Returns the coefficients from the cv.mcen object with the smallest cross-validation error.", "topics": [ "coef.cv.mcen" ] }, { "page": "coef.mcen", "title": "Returns the coefficients from an mcen object.", "topics": [ "coef.mcen" ] }, { "page": "cv.mcen", "title": "Cross validation for mcen function", "topics": [ "cv.mcen" ] }, { "page": "get_best_cvm", "title": "Gets the index position for the model with the smallest cross-validation error.", "topics": [ "get_best_cvm" ] }, { "page": "matrix_multiply", "title": "matrix multiply", "topics": [ "matrix_multiply" ] }, { "page": "mcen", "title": "Fits an MCEN model", "topics": [ "mcen" ] }, { "page": "mcen_bin_workhorse", "title": "Calculates cluster assignment and coefficient estimates for a binomial mcen.", "topics": [ "mcen_bin_workhorse" ] }, { "page": "mcen_workhorse", "title": "Estimates the clusters and provides the coefficients for an mcen object", "topics": [ "mcen_workhorse" ] }, { "page": "mcen.init", "title": "Provides initial estimates for the mcen functionF", "topics": [ "mcen.init" ] }, { "page": "pred_eval", "title": "Calculates the out of sample likelihood for an mcen object", "topics": [ "pred_eval" ] }, { "page": "pred_eval.mbinom_mcen", "title": "Evaluates prediction error for multiple binomial responses.", "topics": [ "pred_eval.mbinom_mcen" ] }, { "page": "pred_eval.mgauss_mcen", "title": "Calculates the prediction error for a mgauss_mcen object.", "topics": [ "pred_eval.mgauss_mcen" ] }, { "page": "predict.cv.mcen", "title": "Makes predictions from the model with the smallest cross-validation error.", "topics": [ "predict.cv.mcen" ] }, { "page": "predict.mcen", "title": "predictions from a mcen model", "topics": [ "predict.mcen" ] }, { "page": "print.cv.mcen", "title": "Prints nice output for a cv.mcen object.", "topics": [ "print.cv.mcen" ] }, { "page": "print.mcen", "title": "Prints nice output for an mcen object.", "topics": [ "print.mcen" ] }, { "page": "randomly_assign", "title": "randomly assign n samples to k groups", "topics": [ "randomly_assign" ] }, { "page": "SetEq", "title": "SetEq test set equivalence of two clustering sets", "topics": [ "SetEq" ] }, { "page": "squared_error", "title": "Calculates sum of squared error between two vectors or matrices", "topics": [ "squared_error" ] }, { "page": "vl_binom", "title": "Calculates out of sample error on the binomial likelihood", "topics": [ "vl_binom" ] } ], "_rundeps": [ "boot", "class", "codetools", "faraway", "flexclust", "foreach", "glmnet", "iterators", "lattice", "lme4", "MASS", "Matrix", "minqa", "modeltools", "nlme", "nloptr", "rbibutils", "Rcpp", "RcppEigen", "Rdpack", "reformulas", "rlang", "shape", "survival" ], "_score": 1, "_indexed": true, "_nocasepkg": "mcen", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2.1", "date": "2026-05-11T06:16:40.000Z", "distro": "noble", "arch": "aarch64", "commit": "6f2675fd90038d853bc510baedb20170ffd6be3b", "fileid": "43ef94a59028a387a3fadf8bb4c1fcad5dc55415f789deb5ad7c21710e7db41d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25653493185" }, { "r": "4.7.0", "os": "linux", "version": "1.2.1", "date": "2026-05-11T06:16:41.000Z", "distro": "noble", "arch": "x86_64", "commit": "6f2675fd90038d853bc510baedb20170ffd6be3b", "fileid": "fdb9091755bb384f9bdf74ee22d5391473a44a838857f672cdb1a821e76210ac", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25653493185" }, { "r": "4.6.0", "os": "linux", "version": "1.2.1", "date": "2026-05-11T06:16:48.000Z", "distro": "noble", "arch": "aarch64", "commit": "6f2675fd90038d853bc510baedb20170ffd6be3b", "fileid": "ca78477dcc105844b8860419edc0b9cee0055f90bba6608739304419de84b8db", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25653493185" }, { "r": "4.6.0", "os": "linux", "version": "1.2.1", "date": "2026-05-11T06:16:48.000Z", "distro": "noble", "arch": "x86_64", "commit": "6f2675fd90038d853bc510baedb20170ffd6be3b", "fileid": "8ae053a90900494f87f239cdcf202e34fa1d7d9d847b84e6d48bf47ddb167d37", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25653493185" }, { "r": "4.6.0", "os": "wasm", "version": "1.2.1", "date": "2026-05-22T11:58:09.000Z", "arch": "emscripten", "commit": "6f2675fd90038d853bc510baedb20170ffd6be3b", "fileid": "3c53b26d0c1db478f7ca23a059c5503efe3a6a2b1aa23bc899ae7767c7a70d82", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/25653493185" } ] }