https://github.com/tvtoglu/predictr

Weibull Analysis Tools
https://github.com/tvtoglu/predictr

estimation fisher-bounds life-data-analysis likelihood-ratio predictr python reliability survival-analysis unreliability weibull

Last synced: 3 months ago
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Weibull Analysis Tools

• Host: GitHub
• URL: https://github.com/tvtoglu/predictr
• Owner: tvtoglu
• License: mit
• Created: 2020-12-26T21:29:59.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2025-05-24T21:18:15.000Z (about 1 year ago)
• Last Synced: 2025-12-15T06:54:26.797Z (6 months ago)
• Topics: estimation, fisher-bounds, life-data-analysis, likelihood-ratio, predictr, python, reliability, survival-analysis, unreliability, weibull
• Language: Python
• Homepage:
• Size: 11.4 MB
• Stars: 26
• Watchers: 2
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# 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.

![](https://img.shields.io/pypi/v/predictr?color=blue&style=flat&label=pypi)

[![Downloads](https://pepy.tech/badge/predictr)](https://pepy.tech/project/predictr)

![](https://img.shields.io/pypi/pyversions/predictr)

![](https://img.shields.io/pypi/l/predictr)

![](https://img.shields.io/github/stars/tvtoglu/predictr?style=flat)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4433164.svg)](https://doi.org/10.5281/zenodo.4433164)

### 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](https://pypi.org/project/predictr/)

[Github Repository](https://github.com/tvtoglu/predictr)

[Documentation](https://tvtoglu.github.io/predictr/)

[Zenodo](https://doi.org/10.5281/zenodo.4433164)