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cpmr (development version)
cpmr 0.1.0
CRAN release: 2024-10-06
New features
- Added
summary()
method to summarize the results of the CPM analysis (#8).
- Added
tidy()
method to tidy the results of the CPM analysis (#10).
- Support
na_action
argument in cpm()
function to handle missing values in the input data (#2).
Enhancements
- Added
params
to cpm()
output to store the input arguments (#14).
- Let
"sum"
be the default value for return_edges
argument.
- Let the first two dimensions of
edges
in the output be edges and networks, respectively.
- Polish the print method of the
cpm
class.
cpmr 0.0.9
CRAN release: 2024-06-08
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
CRAN release: 2024-03-14
- 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.