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 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