{ "_id": "6a26883e794753ddbc3f2918", "Package": "SPREDA", "Type": "Package", "Title": "Statistical Package for Reliability Data Analysis", "Version": "1.2", "Date": "2025-03-28", "Authors@R": "c(person(given = \"Yili\",\nfamily = \"Hong\",\nrole = c(\"aut\", \"cre\"),\nemail = \"yilihong@vt.edu\"),\nperson(given = \"Yimeng\",\nfamily = \"Xie\",\nrole = \"aut\"),\nperson(given = \"Zhibing\",\nfamily = \"Xu\",\nrole = \"aut\"))", "Author": "Yili Hong [aut, cre], Yimeng Xie [aut], Zhibing Xu [aut]", "Maintainer": "Yili Hong ", "Description": "The Statistical Package for REliability Data Analysis\n(SPREDA) implements recently-developed statistical methods for\nthe analysis of reliability data. Modern technological\ndevelopments, such as sensors and smart chips, allow us to\ndynamically track product/system usage as well as other\nenvironmental variables, such as temperature and humidity. We\nrefer to these variables as dynamic covariates. The package\ncontains functions for the analysis of time-to-event data with\ndynamic covariates and degradation data with dynamic\ncovariates. The package also contains functions that can be\nused for analyzing time-to-event data with right censoring, and\nwith left truncation and right censoring. Financial support\nfrom NSF and DuPont are acknowledged.", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 09:12:52 UTC", "User": "root" }, "Repository": "https://yili-hong.r-universe.dev", "Date/Publication": "2025-03-29 14:20:02 UTC", "RemoteUrl": "https://github.com/cran/SPREDA", "RemoteRef": "HEAD", "RemoteSha": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "MD5sum": "05507cae83d4abd71150e346750c7403", "_user": "yili-hong", "_type": "src", "_file": "SPREDA_1.2.tar.gz", "_fileid": "bd667aa1ce0b19020eca8925c68c869153980ededc94a1275199eee3befe4151", "_filesize": 882184, "_sha256": "bd667aa1ce0b19020eca8925c68c869153980ededc94a1275199eee3befe4151", "_created": "2026-06-08T09:12:52.000Z", "_published": "2026-06-08T09:15:42.024Z", "_distro": "noble", "_jobs": [ { "job": 80060131459, "time": 116, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7476013046" }, { "job": 80060131492, "time": 120, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7476014616" }, { "job": 80060131452, "time": 106, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7476008789" }, { "job": 80060131483, "time": 121, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7476014829" }, { "job": 80059591992, "time": 169, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7475969579" }, { "job": 80060131630, "time": 94, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7476004906" }, { "job": 80060131503, "time": 88, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7476002364" }, { "job": 80060131491, "time": 80, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7475998603" }, { "job": 80060131505, "time": 87, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7476001424" } ], "_buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/SPREDA", "_commit": { "id": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "author": "Yili Hong ", "committer": "cran-robot ", "message": "version 1.2\n", "time": 1743258002 }, "_maintainer": { "name": "Yili Hong", "email": "yilihong@vt.edu", "login": "yili-hong", "description": "Yili Hong is a Professor of Statistics and Data Science Faculty Fellow at Virginia Tech.", "uuid": 75285777 }, "_registered": true, "_dependencies": [ { "package": "survival", "role": "Depends" }, { "package": "nlme", "role": "Depends" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "yili-hong", "count": 3, "uuid": 75285777 } ], "_userbio": { "uuid": 75285777, "type": "user", "name": "Yili Hong", "description": "Yili Hong is a Professor of Statistics and Data Science Faculty Fellow at Virginia Tech." }, "_downloads": { "count": 217, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SPREDA" }, "_searchresults": 30, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/SPREDA.html", "manual.pdf" ], "_realowner": "yili-hong", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2014-09-25" }, { "version": "1.1", "date": "2018-11-25" }, { "version": "1.2", "date": "2025-03-29" } ], "_exports": [ "ce.dat.prep", "clme", "cls", "coef.deglmx.MLE", "coef.Lifedata.MLE", "coefinitial.ftn", "data.pre.fun", "deglmx", "dlev", "dsev", "getCov", "getnames", "getRanName", "i.spline.x", "kaplan.meier.location", "Lifedata.MLE", "lifetime.mle", "logLik.Lifedata.MLE", "m.spline.x", "match.dat.fun", "MIC.splines.basis", "miniusloglik.ce.xt.lev", "miniusloglik.ce.xt.logis", "miniusloglik.ce.xt.norm", "miniusloglik.ce.xt.sev", "miniusloglik.lev.wts", "miniusloglik.logis.wts", "miniusloglik.normal.wts", "miniusloglik.sev", "miniusloglik.sev.wts", "minus.log.lik.nlme", "minus.loglik.lme", "mle.obj.to.fit.obj", "optim.ftn.2", "optim.step1.2", "optim.step2.2", "plev", "plot.MICsplines", "plotdeglmx", "print.deglmx", "print.Lifedata.MLE", "print.summary.Lifedata.MLE", "psev", "Px", "qlev", "qsev", "rlev", "rsev", "sqrt_mat", "summary.Lifedata.MLE", "xmat.obj.to.xmat", "xmat.to.cumsum" ], "_datasets": [ { "name": "Coatingenv", "title": "Dynamic covariates for the coating data.", "object": "Coatingenv", "file": "Coatingenv.rda", "class": [ "data.frame" ], "fields": [ "SPEC_NUM", "TIME", "UVB", "UVA", "VIS", "TEMP", "RH", "UV", "GROUP" ], "rows": 3865, "table": true, "tojson": true }, { "name": "Coatingout", "title": "Dynamic covariates for coating data", "object": "Coatingout", "file": "Coatingout.rda", "class": [ "data.frame" ], "fields": [ "SPEC_NUM", "TIME", "DAMAGE_Y", "GROUP" ], "rows": 930, "table": true, "tojson": true }, { "name": "Prod2.fai.dat", "title": "Dataset of failure information of Product 2.", "object": "Prod2.fai.dat", "file": "Prod2.fai.dat.rda", "class": [ "data.frame" ], "fields": [ "failure.time", "delta", "ce" ], "rows": 1800, "table": true, "tojson": true }, { "name": "Prod2.xt.dat", "title": "Dataset of covariate information of Produce 2.", "object": "Prod2.xt.dat", "file": "Prod2.xt.dat.rda", "class": [ "data.frame" ], "fields": [ "id", "time", "x1" ], "rows": 80552, "table": true, "tojson": true }, { "name": "shock", "title": "Shock Absorber Failure Data", "object": "shock", "file": "shock.rda", "class": [ "data.frame" ], "fields": [ "Distance", "Mode", "Censor" ], "rows": 38, "table": true, "tojson": true }, { "name": "testdata", "title": "Testdata", "object": "testdata", "file": "testdata.rda", "class": [ "data.frame" ], "fields": [ "age", "failure", "manufacture.year", "manufacturer", "cooling", "insulation", "truncation", "truncation.age", "group" ], "rows": 710, "table": true, "tojson": true } ], "_help": [ { "page": "SPREDA-package", "title": "Statistical Package for Reliability Data Analysis", "topics": [ "SPREDA-package", "SPREDA" ] }, { "page": "ce.dat.prep", "title": "Create an object for cumulative exposure", "topics": [ "ce.dat.prep" ] }, { "page": "cls", "title": "Mixed primal-dual bases algorithm for estimation of parameters with restriction.", "topics": [ "cls" ] }, { "page": "Coatingenv", "title": "Dynamic covariates for the coating data.", "topics": [ "Coatingenv" ] }, { "page": "Coatingout", "title": "Dynamic covariates for coating data", "topics": [ "Coatingout" ] }, { "page": "deglmx", "title": "Functions for estimating parameters in the linear/nonlinear mixed models with dynamic covariates.", "topics": [ "clme", "coef.deglmx.MLE", "coefinitial.ftn", "data.pre.fun", "deglmx", "getCov", "getnames", "getRanName", "match.dat.fun", "minus.log.lik.nlme", "minus.loglik.lme", "mle.obj.to.fit.obj", "optim.ftn.2", "optim.step1.2", "optim.step2.2", "plot.MICsplines", "print.deglmx", "Px", "sqrt_mat", "xmat.obj.to.xmat", "xmat.to.cumsum" ] }, { "page": "i.spline.x", "title": "i_spline basis", "topics": [ "i.spline.x" ] }, { "page": "kaplan.meier.location", "title": "Kaplan-Meier Location", "topics": [ "kaplan.meier.location" ] }, { "page": "lifedata.MLE", "title": "Parametric Fitting for Lifetime Data", "topics": [ "coef.Lifedata.MLE", "Lifedata.MLE", "logLik.Lifedata.MLE", "miniusloglik.ce.xt.lev", "miniusloglik.ce.xt.logis", "miniusloglik.ce.xt.norm", "miniusloglik.ce.xt.sev", "miniusloglik.lev.wts", "miniusloglik.logis.wts", "miniusloglik.normal.wts", "miniusloglik.sev.wts", "print.Lifedata.MLE" ] }, { "page": "lifetime.mle", "title": "Calculate MLE for Lifetime Distribution", "topics": [ "lifetime.mle", "miniusloglik.sev" ] }, { "page": "m.spline.x", "title": "M_splines basis", "topics": [ "m.spline.x" ] }, { "page": "MIC.splines.basis", "title": "Splines basis functions", "topics": [ "MIC.splines.basis" ] }, { "page": "plev", "title": "The Standard Largest Extreme Value Distribution", "topics": [ "dlev", "plev", "qlev", "rlev" ] }, { "page": "plotdeglmx", "title": "Plot function for the class of \"deglmx\".", "topics": [ "plotdeglmx" ] }, { "page": "Prod2.fai.dat", "title": "Dataset of failure information of Product 2.", "topics": [ "Prod2.fai.dat" ] }, { "page": "Prod2.xt.dat", "title": "Dataset of covariate information of Produce 2.", "topics": [ "Prod2.xt.dat" ] }, { "page": "psev", "title": "The Standard Smallest Extreme Value Distribution", "topics": [ "dsev", "psev", "qsev", "rsev" ] }, { "page": "shock", "title": "Shock Absorber Failure Data", "topics": [ "shock" ] }, { "page": "summary.Lifedata.MLE", "title": "Summaries of \"Lifedata.MLE\" Object", "topics": [ "print.summary.Lifedata.MLE", "summary.Lifedata.MLE" ] }, { "page": "testdata", "title": "Testdata", "topics": [ "testdata" ] } ], "_rundeps": [ "lattice", "Matrix", "nlme", "survival" ], "_score": 1.4771212547196624, "_indexed": true, "_nocasepkg": "spreda", "_universes": [ "yili-hong" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2", "date": "2026-06-08T09:14:36.000Z", "distro": "noble", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "f854e41a2c18561bb88c9b490f5c763cfedc92fda7ba2afac569dcb1a91a065e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.6.0", "os": "linux", "version": "1.2", "date": "2026-06-08T09:14:40.000Z", "distro": "noble", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "07fef6cb5d4a25f017ff341880b370c6de4423fed87265bece1e476211f6e9c0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.5.3", "os": "mac", "version": "1.2", "date": "2026-06-08T09:14:32.000Z", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "f0279f8b1bcecd8e4c093b0d765c9709134e27d633693caf973d3f653a878e57", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.6.0", "os": "mac", "version": "1.2", "date": "2026-06-08T09:14:36.000Z", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "c60b9c556074f9b80f1dfe71f3135fc56e3b56e97f95375e0d8f7ccce36a29b5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.6.0", "os": "wasm", "version": "1.2", "date": "2026-06-08T09:14:44.000Z", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "bddb28f4a231a09ba600eb1317b60818edf8de848d3fd7149d7b5ad8b0b6a3f9", "status": "success", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.7.0", "os": "win", "version": "1.2", "date": "2026-06-08T09:14:03.000Z", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "6772983008cac2f0c4678ece3d54e768a3c1bcc3fc20be7825ec97f4571d2da8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.5.3", "os": "win", "version": "1.2", "date": "2026-06-08T09:13:54.000Z", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "f1a14168bbc429bf8023fbe91ed661623b2deea9b8108012bb2f1934bd1f2591", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" }, { "r": "4.6.0", "os": "win", "version": "1.2", "date": "2026-06-08T09:13:59.000Z", "commit": "ac0af27e65cd6d477f6f0c18fdd978388dbc0e56", "fileid": "3931637fdd37eb2b99b082691c0ccbe43510e99989048dfbcddf5c34f736c48e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yili-hong/actions/runs/27127428031" } ] }