{ "_id": "6a0fedcaacfb0bcc41c74178", "Package": "dnn", "Type": "Package", "Title": "Deep Neural Network Tools for Probability and Statistic Models", "Version": "0.0.7", "Date": "2025-07-29", "Author": "Bingshu E. Chen [aut, cre], Patrick Norman [aut, ctb], Wenyu\nJiang [ctb], Wanlu Li [ctb]", "Maintainer": "Bingshu E. Chen ", "Authors@R": "c(person(c(\"Bingshu\", \"E.\"), \"Chen\", role = c(\"aut\", \"cre\"), email = \"bingshu.chen@queensu.ca\"), person(\"Patrick\", \"Norman\", role = c(\"aut\", \"ctb\")), person(\"Wenyu\", \"Jiang\", role = \"ctb\"), person(\"Wanlu\", \"Li\", role = \"ctb\"))", "Description": "Contains a robust set of tools designed for constructing\ndeep neural networks, which are highly adaptable with\nuser-defined loss function and probability models. It includes\nseveral practical applications, such as the (deepAFT) model,\nwhich utilizes a deep neural network approach to enhance the\naccelerated failure time (AFT) model for survival data. Another\nexample is the (deepGLM) model that applies deep neural network\nto the generalized linear model (glm), accommodating data types\nwith continuous, categorical and Poisson distributions.", "License": "GPL (>= 2)", "LazyLoad": "yes", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-22 05:43:29 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-08-21 18:30:02 UTC", "RemoteUrl": "https://github.com/cran/dnn", "RemoteRef": "HEAD", "RemoteSha": "733b53ddd9974aa36236a5e7e3764876546f68fe", "MD5sum": "e959523f981af710893d548f6e9448fa", "_user": "cran", "_type": "src", "_file": "dnn_0.0.7.tar.gz", "_fileid": "9f854bd322e24f41f367458fd267a65e6f52873104b8754af85b0a475f70239a", "_filesize": 211827, "_sha256": "9f854bd322e24f41f367458fd267a65e6f52873104b8754af85b0a475f70239a", "_created": "2026-05-22T05:43:29.000Z", "_published": "2026-05-22T05:46:50.197Z", "_distro": "noble", "_jobs": [ { "job": 77323321525, "time": 155, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7153607418" }, { "job": 77323321442, "time": 153, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7153607028" }, { "job": 77323321440, "time": 143, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7153605032" }, { "job": 77323321453, "time": 153, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7153607082" }, { "job": 77323031395, "time": 179, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7153576336" }, { "job": 77323321431, "time": 109, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7153598534" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26213121996", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/dnn", "_commit": { "id": "733b53ddd9974aa36236a5e7e3764876546f68fe", "author": "Bingshu E. Chen ", "committer": "cran-robot ", "message": "version 0.0.7\n", "time": 1755801002 }, "_maintainer": { "name": "Bingshu E. Chen", "email": "bingshu.chen@queensu.ca", "login": "statapps", "description": "", "uuid": 19355054 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "ggplot2", "role": "Depends" }, { "package": "lpl", "version": ">= 0.12", "role": "Depends" }, { "package": "Rcpp", "role": "Depends" }, { "package": "survival", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "methods", "role": "Imports" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-34", "n": 1 } ], "_tags": [ { "name": "0.0.7", "date": "2025-08-21" } ], "_stars": 0, "_contributors": [ { "user": "statapps", "count": 2, "uuid": 19355054 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 565, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dnn" }, "_searchresults": 12, "_topics": [ "cpp", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/dnn.html", "manual.pdf" ], "_realowner": "statapps", "_cranurl": false, "_releases": [ { "version": "0.0.6", "date": "2024-03-14" }, { "version": "0.0.7", "date": "2025-08-21" } ], "_exports": [ "bwdCheck", "bwdNN", "bwdNN2", "CVpredErr", "deepAFT", "deepAFT.default", "deepAFT.formula", "deepAFT.ipcw", "deepAFT.trans", "deepGlm", "deepSurv", "deepSurv.default", "delu", "didu", "dlrelu", "dnnControl", "dnnFit", "dnnFit2", "dNNmodel", "drelu", "dsigmoid", "dtanh", "elu", "fwdNN", "fwdNN2", "hyperTuning", "ibs.deepAFT", "idu", "lrelu", "mseIPCW", "optimizerAdamG", "optimizerMomentum", "optimizerNAG", "plot.deepAFT", "plot.dNNmodel", "predict.dNNmodel", "predict.dSurv", "print.deepAFT", "print.deepGlm", "print.deepSurv", "print.dNNmodel", "print.summary.deepAFT", "print.summary.deepGlm", "print.summary.deepSurv", "relu", "residuals.deepGlm", "residuals.dSurv", "rmst.deepSurv", "sigmoid", "summary.deepAFT", "summary.deepGlm", "summary.deepSurv", "summary.dNNmodel", "survfit.deepAFT", "survfit.deepSurv" ], "_help": [ { "page": "dnn-package", "title": "An R package for the deep neural networks probability and statistics models", "topics": [ "dnn-package", "dnn", "dnn-doc" ] }, { "page": "activation", "title": "Activation function", "topics": [ "activation", "delu", "didu", "dlrelu", "drelu", "dsigmoid", "dtanh", "elu", "idu", "lrelu", "relu", "sigmoid" ] }, { "page": "bwdNN", "title": "Back propagation for dnn Models", "topics": [ "bwdCheck", "bwdNN", "bwdNN2" ] }, { "page": "deepAFT", "title": "Deep learning for the accelerated failure time (AFT) model", "topics": [ "deepAFT", "deepAFT.default", "deepAFT.formula", "deepAFT.ipcw", "deepAFT.trans" ] }, { "page": "deepGLM", "title": "Deep learning for the generalized linear models", "topics": [ "deepGLM", "deepGlm", "predict.deepGlm", "residuals.deepGlm", "summary.deepGlm" ] }, { "page": "deepSurv", "title": "Deep learning for the Cox proportional hazards model", "topics": [ "deepSurv", "deepSurv.default", "summary.deepSurv" ] }, { "page": "dnnControl", "title": "Auxiliary function for 'dnnFit' dnnFit", "topics": [ "dnnControl" ] }, { "page": "dnnFit", "title": "Fitting a Deep Learning model with a given loss function", "topics": [ "dnnFit", "dnnFit2" ] }, { "page": "dNNmodel", "title": "Specify a deep neural network model", "topics": [ "dNNmodel" ] }, { "page": "fwdNN", "title": "Feed forward and back propagation for dnn Models", "topics": [ "fwdNN", "fwdNN2", "predict.dNNmodel" ] }, { "page": "hyperTuning", "title": "A function for tuning of the hyper parameters", "topics": [ "CVpredErr", "hyperTuning" ] }, { "page": "ibs.deepAFT", "title": "Calculate integrated Brier Score for deepAFT", "topics": [ "ibs.deepAFT" ] }, { "page": "mseIPCW", "title": "Mean Square Error (mse) for a fitted survival Object", "topics": [ "mseIPCW" ] }, { "page": "optimizerSGD", "title": "Functions to optimize the gradient descent of a cost function", "topics": [ "optimizerAdamG", "optimizerMomentum", "optimizerNAG", "optimizerSGD" ] }, { "page": "plot", "title": "Plot methods in dnn package", "topics": [ "plot.deepAFT", "plot.dNNmodel" ] }, { "page": "predict.dSurv", "title": "Predicted Values for a deepAFT or a deepSurv Object", "topics": [ "predict.deepAFT", "predict.deepSurv", "predict.dSurv" ] }, { "page": "print", "title": "print a summary of fitted deep learning model object", "topics": [ "print.deepAFT", "print.deepGlm", "print.deepSurv", "print.dNNmodel", "print.summary.deepAFT", "print.summary.deepGlm", "print.summary.deepSurv", "print.summary.dNNmodel", "summary.deepAFT", "summary.dNNmodel" ] }, { "page": "residuals.deepAFT", "title": "Calculate Residuals for a deepAFT Fit.", "topics": [ "residuals.deepAFT", "residuals.dSurv" ] }, { "page": "rmst.deepSurv", "title": "The restricted mean survival time (RMST)", "topics": [ "rmst.deepSurv" ] }, { "page": "survfit.dSurv", "title": "Compute a Survival Curve from a deepAFT or a deepSurv Model", "topics": [ "survfit.deepAFT", "survfit.deepSurv" ] } ], "_rundeps": [ "cli", "cpp11", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lattice", "lifecycle", "lpl", "MASS", "Matrix", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "rlang", "S7", "scales", "survival", "vctrs", "viridisLite", "withr" ], "_sysdeps": [ { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_score": 1.0791812460476249, "_indexed": false, "_nocasepkg": "dnn", "_universes": [ "cran" ], "_indexurl": "https://statapps.r-universe.dev/dnn", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.0.7", "date": "2026-05-22T05:45:53.000Z", "distro": "noble", "arch": "aarch64", "commit": "733b53ddd9974aa36236a5e7e3764876546f68fe", "fileid": "2633fd96b28000311e28a4416d0ec3070180905d6eab10d7eab6e4824b92e328", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213121996" }, { "r": "4.7.0", "os": "linux", "version": "0.0.7", "date": "2026-05-22T05:45:44.000Z", "distro": "noble", "arch": "x86_64", "commit": "733b53ddd9974aa36236a5e7e3764876546f68fe", "fileid": "be6df0ae2aa1cdaa977249592686d6ea7f13512022b12d684b0e617d71fb85a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213121996" }, { "r": "4.6.0", "os": "linux", "version": "0.0.7", "date": "2026-05-22T05:45:38.000Z", "distro": "noble", "arch": "aarch64", "commit": "733b53ddd9974aa36236a5e7e3764876546f68fe", "fileid": "5d654538d9df436ce0eb2eb3fd3eee33a26acfd08a831bd7fd4e5a2574b9dec9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213121996" }, { "r": "4.6.0", "os": "linux", "version": "0.0.7", "date": "2026-05-22T05:45:44.000Z", "distro": "noble", "arch": "x86_64", "commit": "733b53ddd9974aa36236a5e7e3764876546f68fe", "fileid": "74fcaa45960423a0b1db819a33b9b9daf18c4dc79b95f2470024344d7905753a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213121996" }, { "r": "4.6.0", "os": "wasm", "version": "0.0.7", "date": "2026-05-22T05:45:40.000Z", "arch": "emscripten", "commit": "733b53ddd9974aa36236a5e7e3764876546f68fe", "fileid": "2947878b165ca9c30fd80da16d833ee838b64abbedb19032b84da577209dd264", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26213121996" } ] }