Metadata-Version: 2.1
Name: predictr
Version: 0.1.15
Summary: Weibull Analysis Utilities
Home-page: https://tvtoglu.github.io/predictr/
Author: Tamer Tevetoglu
Author-email: tamer.tevetoglu@ima.uni-stuttgart.de
License: UNKNOWN
Description: # 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.
        
        ![](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.4456183.svg)](https://doi.org/10.5281/zenodo.4456183)
        
        
        ### 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.4441401)
        
Keywords: reliability,weibull,bias
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
