rootBBB | Root age estimation using a Bayesian Brownian bridge model

by dsilvestro Python Version: 0.2 License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | rootBBB Summary

rootBBB is a Python library. rootBBB has no bugs, it has no vulnerabilities and it has low support. However rootBBB build file is not available. You can download it from GitHub.

Root age estimation using a Bayesian Brownian bridge model

Support

Quality

Security

License

Reuse

Support

rootBBB has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 147 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rootBBB is 0.2

Quality

rootBBB has 0 bugs and 0 code smells.

Security

rootBBB has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rootBBB code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rootBBB does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

rootBBB releases are available to install and integrate.

rootBBB has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 411 lines of code, 18 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed rootBBB and discovered the below as its top functions. This is intended to give you an instant insight into rootBBB implemented functionality, and help decide if they suit your requirements.

Run MMC
Implementation of the simulation
Calculate the mean likelihood for a given time series
Generate a sample of a path - step distribution
Compute the log - pmf of x
Update the multiplicity of a log - likelihood
Update a normal distribution
Log PDF function
Calculate the approximator of a log binomiam coefficient
Calculate the log binomial coefficient
Returns the log - factorial of n
Return an approximate log - fact
Simulate the data

Get all kandi verified functions for this library.

rootBBB Key Features

No Key Features are available at this moment for rootBBB.

rootBBB Examples and Code Snippets

No Code Snippets are available at this moment for rootBBB.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install rootBBB

You can download it from GitHub.
You can use rootBBB like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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