Skip to content

Multivariate Functional Shape Data Analysis in Python (MFSDA_Python) is a Python based package for statistical shape analysis. A multivariate varying coefficient model is introduced to build the association between the multivariate shape measurements and demographic information and other clinical, biological variables. Statistical inference, i.e…

Notifications You must be signed in to change notification settings

slicersalt/MFSDA_Python

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 

Repository files navigation

What is this project ?

This project is NOT the official MFSDA_Python repository.

It is a fork of MFSDA_Python sources hosted at https://github.com/DCBIA-OrthoLab/MFSDA_Python.

It is used as staging area to maintain and test patches that will be contributed back to the official repository.

What is the branch naming convention ?

Each branch is named following the pattern slicer-YYYY-MM-DD-vY.Y.Z-SHA{7}

where:

  • vX.Y.Z is the version of the forked project
  • YYYY-MM-DD is the date of the last official commit associated with the branch.
  • SHA{7} are the first seven characters of the last official commit associated with the branch.

For more details, see https://www.slicer.org/wiki/Documentation/Nightly/Developers/ProjectForks

How to update the version of MFSDA_Python ?

  1. Clone this repository and add a remote to the official project
git clone git://github.com/slicersalt/MFSDA_Python
cd MFSDA_Python
git remote add upstream git://github.com/DCBIA-OrthoLab/MFSDA_Python
git fetch upstream
  1. Create a new branch following the convention slicer-YYYY-MM-DD-vY.Y.Z-SHA{7}

  2. Cherry-pick the Slicer specific commits from last branch. Resolve conflict as needed.

  3. To test the changes, locally rebuild Slicer.

  4. Publish the branch. (directly in this repo if you have push rights, or on a fork)

  5. Update Slicer MFSDA_Python external project and submit a pull request.

How to be granted push rights ?

Ask on https://discourse.slicer.org/c/community/slicer-salt

Questions

If you have questions, see https://discourse.slicer.org/c/community/slicer-salt

About

Multivariate Functional Shape Data Analysis in Python (MFSDA_Python) is a Python based package for statistical shape analysis. A multivariate varying coefficient model is introduced to build the association between the multivariate shape measurements and demographic information and other clinical, biological variables. Statistical inference, i.e…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 96.0%
  • CMake 4.0%