{ "_id": "6a10208eacfb0bcc41c8ba13", "Package": "weibulltools", "Type": "Package", "Title": "Statistical Methods for Life Data Analysis", "Version": "2.1.0", "Authors@R": "c(person(\"Tim-Gunnar\", \"Hensel\",\nemail = \"tim-gunnar.hensel@tu-berlin.de\",\nrole = c(\"aut\", \"cre\")),\nperson(\"David\", \"Barkemeyer\",\nemail = \"david.barkemeyer@gmx.de\",\nrole = \"aut\")\n)", "Description": "Provides statistical methods and visualizations that are\noften used in reliability engineering. Comprises a compact and\neasily accessible set of methods and visualization tools that\nmake the examination and adjustment as well as the analysis and\ninterpretation of field data (and bench tests) as simple as\npossible. Non-parametric estimators like Median Ranks,\nKaplan-Meier (Abernethy, 2006, ),\nJohnson (Johnson, 1964, ), and\nNelson-Aalen for failure probability estimation within samples\nthat contain failures as well as censored data are included.\nThe package supports methods like Maximum Likelihood and Rank\nRegression, (Genschel and Meeker, 2010,\n) for the estimation of\nmultiple parametric lifetime distributions, as well as the\ncomputation of confidence intervals of quantiles and\nprobabilities using the delta method related to Fisher's\nconfidence intervals (Meeker and Escobar, 1998,\n) and the beta-binomial confidence bounds.\nIf desired, mixture model analysis can be done with segmented\nregression and the EM algorithm. Besides the well-known Weibull\nanalysis, the package also contains Monte Carlo methods for the\ncorrection and completion of imprecisely recorded or unknown\nlifetime characteristics. (Verband der Automobilindustrie e.V.\n(VDA), 2016, ). Plots are created statically\n('ggplot2') or interactively ('plotly') and can be customized\nwith functions of the respective visualization package. The\ngraphical technique of probability plotting as well as the\naddition of regression lines and confidence bounds to existing\nplots are supported.", "License": "GPL-2", "URL": "https://tim-tu.github.io/weibulltools/,\nhttps://github.com/Tim-TU/weibulltools", "BugReports": "https://github.com/Tim-TU/weibulltools/issues", "Language": "en-US", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "RdMacros": "lifecycle", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://tim-tu.r-universe.dev", "Date/Publication": "2023-04-05 00:35:25 UTC", "RemoteUrl": "https://github.com/tim-tu/weibulltools", "RemoteRef": "HEAD", "RemoteSha": "df01bb9e4f437ae63bf0ee2eba8e1d2b5c27ecfe", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-14 06:08:55 UTC", "User": "root" }, "Author": "Tim-Gunnar Hensel [aut, cre],\nDavid Barkemeyer [aut]", "Maintainer": "Tim-Gunnar Hensel ", "MD5sum": 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"Simulation of Unknown Covered Distances using a Monte Carlo Approach", "topics": [ "mcs_mileage.default" ] }, { "page": "mixmod_em", "title": "Weibull Mixture Model Estimation using EM-Algorithm", "topics": [ "mixmod_em", "mixmod_em.wt_reliability_data" ] }, { "page": "mixmod_em.default", "title": "Weibull Mixture Model Estimation using EM-Algorithm", "topics": [ "mixmod_em.default" ] }, { "page": "mixmod_regression", "title": "Mixture Model Identification using Segmented Regression", "topics": [ "mixmod_regression", "mixmod_regression.wt_cdf_estimation" ] }, { "page": "mixmod_regression.default", "title": "Mixture Model Identification using Segmented Regression", "topics": [ "mixmod_regression.default" ] }, { "page": "ml_estimation", "title": "ML Estimation for Parametric Lifetime Distributions", "topics": [ "ml_estimation", "ml_estimation.wt_reliability_data" ] }, { "page": "ml_estimation.default", "title": "ML Estimation for Parametric Lifetime Distributions", "topics": [ 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