Statistical Methods for Life Data Analysis

Contains methods for examining bench test or field data using the well-known Weibull Analysis. It includes Monte Carlo simulation for estimating the life span of products that have not failed, taking account of registering and reporting delays as stated in (Verband der Automobilindustrie e.V. (VDA), 2016, ). If the products looked upon are vehicles, the covered mileage can be estimated as well. It also provides non-parametric estimators like Median Ranks, Kaplan-Meier (Abernethy, 2006, ), Johnson (Johnson, 1964, ), and Nelson-Aalen for failure probability estimation within samples that contain failures as well as censored data. Methods for estimating the parameters of lifetime distributions, like Maximum Likelihood and Median-Rank Regression, (Genschel and Meeker, 2010, ) 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, ) and the beta-binomial confidence bounds are also included. If desired, the data can automatically be divided into subgroups using segmented regression. Besides the calculation, methods for interactive visualization of the edited data using *Plotly* are provided as well. These visualizations include the layout of a probability plot for a specified distribution, the graphical technique of probability plotting and the possibility of adding regression lines and confidence bounds to existing plots.


weibulltools

Unlike other R packages for survival analysis, the weibulltools package focuses on reliability methods and has the advantage of being open source and easily accessible contrary to other reliability analysis software. In addition to that the package can be integrated into (partly) automated data analytics processes and even connected to big data systems.

The weibulltools package contains methods for examining bench test or field data using the well-known weibull analysis. It includes Monte Carlo simulation for estimating the life span of products that have not failed, taking account of registering and reporting delays. On this basis, if the products looked upon are vehicles, the covered mileage can be estimated as well. The weibulltools package also provides methods for probability estimation within samples that contain failures as well as censored data.Methods for estimating the parameters of lifetime distributions as well as the confidence intervals of quantiles and probabilities are also included and, if necessary, data can automatically be divided into subgroups using segmented regression. Besides the calculation methods, methods for interactive visualization of the edited data using Plotly are provided as well.

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Reference manual

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install.packages("weibulltools")

0.5.4 by Hensel Tim-Gunnar, 6 months ago


Browse source code at https://github.com/cran/weibulltools


Authors: Hensel Tim-Gunnar [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports dplyr, magrittr, plotly, Rcpp, sandwich, segmented, SPREDA, survival

Suggests knitr, rmarkdown

Linking to Rcpp


See at CRAN