predictr - Predict the Reliability

predictr: predict + reliability, in other words: A tool to predict the reliability.<br> The aim of this package is to provide state of the art tools for all kinds of Weibull analyses. <br> predictr already includes many methods (see list 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
• Bx-life calculator
• 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
• Multiple Weibull plots in one figure
• Contour plots

Important Links

PyPi

Github Repository

Documentation

Zenodo