kcbo | A Bayesian testing framework written in Python

 by   HHammond Python Version: 0.0.1 License: MIT

kandi X-RAY | kcbo Summary

kandi X-RAY | kcbo Summary

kcbo is a Python library. kcbo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install kcbo' or download it from GitHub, PyPI.

A Bayesian testing framework written in Python. KCBO is a toolkit for anyone who wants to do Bayesian data analysis without worrying about the implementation details for a certain test. Currently KCBO is very much alpha/pre-alpha software and only implements a three tests. Here is a list of future objectives for the project. I have high hopes that soon KCBO will implement all the usual tests and that it will grow into something very powerful for analysts.
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            kandi-support Support

              kcbo has a low active ecosystem.
              It has 94 star(s) with 8 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 2374 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kcbo is 0.0.1

            kandi-Quality Quality

              kcbo has 0 bugs and 0 code smells.

            kandi-Security Security

              kcbo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              kcbo code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              kcbo is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              kcbo releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              kcbo saves you 213 person hours of effort in developing the same functionality from scratch.
              It has 523 lines of code, 49 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kcbo and discovered the below as its top functions. This is intended to give you an instant insight into kcbo implemented functionality, and help decide if they suit your requirements.
            • Convert a function into a dictionary .
            • Decorator to turn a function into a list .
            • Merge multiple dicts .
            • Read file contents .
            Get all kandi verified functions for this library.

            kcbo Key Features

            No Key Features are available at this moment for kcbo.

            kcbo Examples and Code Snippets

            No Code Snippets are available at this moment for kcbo.

            Community Discussions

            No Community Discussions are available at this moment for kcbo.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install kcbo

            KCBO is available through PyPI and on Github here.
            If any of this fails, you may need to install numpy (pip install numpy) in order to install some dependencies of KCBO, then retry installing it.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install kcbo

          • CLONE
          • HTTPS

            https://github.com/HHammond/kcbo.git

          • CLI

            gh repo clone HHammond/kcbo

          • sshUrl

            git@github.com:HHammond/kcbo.git

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