cpmr 0.0.9
New features
- Added support for row/column matrix as input for behavior and
confounds data.
Maintenance
- Added more data checks to ensure the input data are in the correct
format.
cpmr 0.0.8
- Added
return_edges
argument to optionally set how to
return edges in the output.
cpmr 0.0.7
- Convert back to older version of confounds treating.
cpmr 0.0.6
- Ensure confounds regression are now only used in feature
selection.
cpmr 0.0.5
- Fixed confounds treatment. Now confounds are used in feature
selection but not in model fitting.
cpmr 0.0.4
- Ensure sparsity threshold method work as expect.
- Some other improvements in code quality.
cpmr 0.0.3
- Keep observation names in the output.
- Check if observation names match between neural data and behavioral
data.
cpmr 0.0.2
- Added support for confounding variables.
cpmr 0.0.1
- Initial commit to r-universe.