Renamed internal constant networks and includes to corr_types and inc_edges, respectively, to better reflect their purpose. In addition, the documentation which mentioned networks has been updated to use correlation types to better reflect their meaning.
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.