RunDEMC | Python library for running DEMC on hierarchical models

by compmem Python Version: Current License: Non-SPDX

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

kandi X-RAY | RunDEMC Summary

RunDEMC is a Python library. RunDEMC has no bugs, it has no vulnerabilities, it has build file available and it has low support. However RunDEMC has a Non-SPDX License. You can download it from GitHub.

Python library for running DEMC on hierarchical models.

Support

Quality

Security

License

Reuse

Support

RunDEMC has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of RunDEMC is current.

Quality

RunDEMC has 0 bugs and 0 code smells.

Security

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

RunDEMC code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RunDEMC has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

RunDEMC releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 3139 lines of code, 138 functions and 25 files.

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

Top functions reviewed by kandi - BETA

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

Plot a joint plot
Compute a 2D kernel for a 2D kernel
Calculate the log - likelihood
Boxcox function
Finds the best index of the data in the data
Calculates the best box coefficient for a given function
Calculates the log - likelihood of x
Calculate the proposed log likelihood
Calculate log likelihood
Apply transformation to pop
Sample from the hyperparameter distribution
Generate a pdf of a histogram
Calculates the best bound of the boxcox function
Calculates the scale factor for each bin
Generate the pdf of the model
Generate the log PDF of the model
Calculates the log PDF of the model
Generate the pdf of the distribution
Generate the random variates
Generate random variates
Computes the log - likelihood of x and the log likelihood
Multinomial logarithm
Calculate log - likelihood
Generate projection data
Calculate the bin area
Save model to file

Get all kandi verified functions for this library.

RunDEMC Key Features

No Key Features are available at this moment for RunDEMC.

RunDEMC Examples and Code Snippets

No Code Snippets are available at this moment for RunDEMC.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install RunDEMC

You can download it from GitHub.
You can use RunDEMC 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 .

Find more information at: