weibulltools: Statistical Methods for Life Data Analysis

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.

Version: 2.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, lifecycle, magrittr, plotly, purrr, Rcpp, sandwich, segmented, SPREDA, survival, tibble, tidyr
LinkingTo: Rcpp (≥ 0.12.18), RcppArmadillo
Suggests: knitr, rmarkdown, testthat
Published: 2021-01-12
Author: Tim-Gunnar Hensel [aut, cre], David Barkemeyer [aut]
Maintainer: Tim-Gunnar Hensel <tim-gunnar.hensel at tu-berlin.de>
BugReports: https://github.com/Tim-TU/weibulltools/issues
License: GPL-2
URL: https://tim-tu.github.io/weibulltools, https://github.com/Tim-TU/weibulltools
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: weibulltools results


Reference manual: weibulltools.pdf
Vignettes: Life Data Analysis Part I - Estimation of Failure Probabilities
Life Data Analysis Part II - Estimation Methods for Parametric Lifetime Models
Life Data Analysis Part III - Mixture Models
Package source: weibulltools_2.0.0.tar.gz
Windows binaries: r-devel: weibulltools_2.0.0.zip, r-release: weibulltools_2.0.0.zip, r-oldrel: weibulltools_2.0.0.zip
macOS binaries: r-release: weibulltools_2.0.0.tgz, r-oldrel: weibulltools_2.0.0.tgz
Old sources: weibulltools archive


Please use the canonical form https://CRAN.R-project.org/package=weibulltools to link to this page.