fitlins | Fit Linear Models to BIDS Datasets
kandi X-RAY | fitlins Summary
kandi X-RAY | fitlins Summary
fitlins is a Python library. fitlins 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 fitlins' or download it from GitHub, PyPI.
Fit Linear Models to BIDS Datasets
Fit Linear Models to BIDS Datasets
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Quality
Security
License
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fitlins has a low active ecosystem.
It has 60 star(s) with 28 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 72 open issues and 88 have been closed. On average issues are closed in 34 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of fitlins is 0.11.0
Quality
fitlins has 0 bugs and 0 code smells.
Security
fitlins has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
fitlins code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
fitlins is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
fitlins releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
fitlins saves you 1902 person hours of effort in developing the same functionality from scratch.
It has 4192 lines of code, 104 functions and 28 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed fitlins and discovered the below as its top functions. This is intended to give you an instant insight into fitlins implemented functionality, and help decide if they suit your requirements.
- Return a dict of CommandClass
- Get the project root directory
- Build a ConfigParser from root
- Get version information
- Run the model
- Prepare a list of contrasts
- Generate a dscal scalar from an image
- Returns True if the query matches the metadata
- Run fitlins
- Return all participants in the layout
- Write the derivative description to a file
- Returns a configuration object for fitlins
- Create BIDS derivatives dataset
- Write metadata to file
- Visualize contrast information
- Scans the setup py file and checks if it is missing
- List the outputs
- Visualize contrast matrix
- Visualize data
- Run the visualization
- List outputs
- Write the metadata to a file
- Runs the model interface
- Run nipy interface
- Return the version information
- Create the versioneer config file
- Visualize the design matrix
Get all kandi verified functions for this library.
fitlins Key Features
No Key Features are available at this moment for fitlins.
fitlins Examples and Code Snippets
No Code Snippets are available at this moment for fitlins.
Community Discussions
No Community Discussions are available at this moment for fitlins.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fitlins
You can install using 'pip install fitlins' or download it from GitHub, PyPI.
You can use fitlins 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.
You can use fitlins 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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