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cpmr (development version)

cpmr 0.1.0

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

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.