Changes in version 0.1.1.9000                      

Enhancements

  - Clarified print.cpm() output when edges are not stored and hardened
    summary.cpm() fold fallback for legacy objects.

Maintenance

  - Stabilized GitHub Actions uploads for Codecov coverage and Test
    Analytics by generating and uploading JUnit test results from an
    explicit workspace path.

                 Changes in version 0.1.1 (2026-03-11)                  

Enhancements

  - 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.
  - Reorganized R/cpm.R so cpm() remains the entry-point function at the
    top, followed by print.cpm(), with internal helpers grouped below.
  - Improved test architecture with explicit internal-helper coverage
    and complete-case fold invariants.

Maintenance

  - Refactored the internal cpm() workflow into smaller helpers
    (normalize_inputs, resolve_include_cases,
    apply_confounds_regression, etc.) while preserving user-facing
    behavior.
  - Removed the obsolete internal alias regress_counfounds().
  - Removed broad Rfast namespace import in favor of explicit Rfast::
    calls.
  - Updated summary.cpm() edge summarization path to avoid mutating
    local object fields.

                 Changes in version 0.1.0 (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.

                 Changes in version 0.0.9 (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.

                 Changes in version 0.0.8 (2024-03-14)                  

  - Added return_edges argument to optionally set how to return edges in
    the output.

                        Changes in version 0.0.7                        

  - Convert back to older version of confounds treating.

                        Changes in version 0.0.6                        

  - Ensure confounds regression are now only used in feature selection.

                        Changes in version 0.0.5                        

  - Fixed confounds treatment. Now confounds are used in feature
    selection but not in model fitting.

                        Changes in version 0.0.4                        

  - Ensure sparsity threshold method work as expect.
  - Some other improvements in code quality.

                        Changes in version 0.0.3                        

  - Keep observation names in the output.
  - Check if observation names match between neural data and behavioral
    data.

                        Changes in version 0.0.2                        

  - Added support for confounding variables.

                        Changes in version 0.0.1                        

  - Initial commit to r-universe.