Metadata-Version: 2.1
Name: reliability
Version: 0.5.3
Summary: Reliability Engineering toolkit for Python
Home-page: https://reliability.readthedocs.io/en/latest/
Author: Matthew Reid
Author-email: alpha.reliability@gmail.com
License: LGPLv3
Description: ![Logo](https://raw.githubusercontent.com/MatthewReid854/reliability/master/docs/images/logo.png)
        
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        *reliability* is a Python library for reliability engineering and survival analysis. It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
        
        ![](https://github.com/MatthewReid854/reliability/blob/master/docs/images/readme_image_V2.png)
        
        ## Key features
        - Fitting probability distributions to data including right censored data
        - Fitting Weibull mixture models
        - Calculating the probability of failure for stress-strength interference between any combination of the supported distributions
        - Support for Exponential, Weibull, Gamma, Normal, Lognormal, Loglogistic, and Beta probability distributions
        - Mean residual life, quantiles, descriptive statistics summaries, random sampling from distributions
        - Plots of probability density function (PDF), cumulative distribution function (CDF), survival function (SF), hazard function (HF), and cumulative hazard function (CHF)
        - Easy creation of distribution objects. Eg. dist = Weibull_Distribution(alpha=4,beta=2)
        - Non-parametric estimation of survival function using Kaplan-Meier and Nelson-Aalen
        - Goodness of fit tests (AICc, BIC, AD)
        - Probability plots on probability paper for all supported distributions
        - Quantile-Quantile plots and Probability-Probability plots
        - Reliability growth, optimal replacement time, sequential sampling charts, similar distributions
        - Physics of Failure (SN diagram, stress-strain, fracture mechanics, creep)
        - Accelerated Life Testing probability plots (Weibull, Exponential, Normal, Lognormal)
        - Accelerated Life Testing Models (Exponential, Eyring, Power, Dual-Exponential, Power-Exponential).
        - Mean cumulative function for repairable systems
        
        ## Installation and upgrading
        
        To install *reliability* for the first time, open your command prompt and type:
        
        ```
        pip install reliability
        ```
        
        To upgrade a previous installation of *reliability* to the most recent version, open your command prompt and type:
        
        ```
        pip install --upgrade reliability
        ```
        
        ## Documentation
        Check out [readthedocs](https://reliability.readthedocs.io/en/latest/) for detailed documentation and examples.
        If you find any errors, have any suggestions, or would like to request that something be added, please email me: alpha.reliability@gmail.com.
        
Keywords: reliability,engineering,RAM,weibull,lognormal,exponential,beta,gamma,normal,loglogistic,kaplan meier,kaplan-meier,survival,analysis,censored,data,lifelines,probability,distribution,distributions,quality,ALT,accelerated,life,testing,MCF,mean,cumulative,CIF
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
