Package: weibulltools
Type: Package
Title: Statistical Methods for Life Data Analysis
Version: 2.1.0
Authors@R: 
    c(person("Tim-Gunnar", "Hensel", 
      email = "tim-gunnar.hensel@tu-berlin.de", 
      role = c("aut", "cre")),
      person("David", "Barkemeyer",
      email = "david.barkemeyer@gmx.de",
      role = "aut")
    )
Description: Provides statistical methods and visualizations that are
        often used in reliability engineering. Comprises a compact and
        easily accessible set of methods and visualization tools that
        make the examination and adjustment as well as the analysis and
        interpretation of field data (and bench tests) as simple as
        possible. Non-parametric estimators like Median Ranks,
        Kaplan-Meier (Abernethy, 2006, <ISBN:978-0-9653062-3-2>),
        Johnson (Johnson, 1964, <ISBN:978-0444403223>), and
        Nelson-Aalen for failure probability estimation within samples
        that contain failures as well as censored data are included.
        The package supports methods like Maximum Likelihood and Rank
        Regression, (Genschel and Meeker, 2010,
        <DOI:10.1080/08982112.2010.503447>) for the estimation of
        multiple parametric lifetime distributions, as well as the
        computation of confidence intervals of quantiles and
        probabilities using the delta method related to Fisher's
        confidence intervals (Meeker and Escobar, 1998,
        <ISBN:9780471673279>) and the beta-binomial confidence bounds.
        If desired, mixture model analysis can be done with segmented
        regression and the EM algorithm. Besides the well-known Weibull
        analysis, the package also contains Monte Carlo methods for the
        correction and completion of imprecisely recorded or unknown
        lifetime characteristics. (Verband der Automobilindustrie e.V.
        (VDA), 2016, <ISSN:0943-9412>). Plots are created statically
        ('ggplot2') or interactively ('plotly') and can be customized
        with functions of the respective visualization package. The
        graphical technique of probability plotting as well as the
        addition of regression lines and confidence bounds to existing
        plots are supported.
License: GPL-2
URL: https://tim-tu.github.io/weibulltools/,
        https://github.com/Tim-TU/weibulltools
BugReports: https://github.com/Tim-TU/weibulltools/issues
Imports: dplyr, ggplot2, lifecycle (>= 1.0.0), magrittr, plotly, purrr,
        Rcpp, sandwich, segmented, tibble
LinkingTo: Rcpp (>= 0.12.18), RcppArmadillo
Depends: R (>= 3.5.0)
Language: en-US
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, testthat, pillar (>= 1.9.0)
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: 2026-06-13 09:54:14 UTC; root
Author: Tim-Gunnar Hensel [aut, cre],
  David Barkemeyer [aut]
Maintainer: Tim-Gunnar Hensel <tim-gunnar.hensel@tu-berlin.de>