Weibull Analysis Utilities
Project description
predictr - Predict the Reliability
predictr: predict + reliability, in other words: A tool to predict the reliability.
The aim of this package is to provide state of the art tools for all kinds of Weibull analyses.
predictr already includes many methods (see tables below). A guideline on when to use which method will be added soon.
Main Features
Parameter Estimation
- Uncensored two-parameter Weibull distribution
- Type I and type II right-censored two-parameter Weibull distribution
- Maximum Likelihood Estimation (MLE)
- Median Rank Regression (MRR)
Bias-correction methods
- C4 method (reduced bias adjustment)
- Hirose and Ross method
- Non-Parametric Bootstrap correction (mean, median, trimmed mean)
- Parametric Bootstrap correction (mean, median, trimmed mean)
Confidence bounds
- Beta-Binomial Bounds
- Monte-Carlo Pivotal Bounds
- Non-Parametric Bootstrap Bounds
- Parametric Bootstrap Bounds
- Fisher Bounds
- Likelihood Ratio Bounds
Plots
- Weibull Probability Plots with all needed information on them
Important Links
Release history Release notifications | RSS feed
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