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Changelog

Source: NEWS.md

cpmr (development version)

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.

cpmr 0.1.1

CRAN release: 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.

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.