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.R/cpm.R so cpm() remains the
entry-point function at the top, followed by print.cpm(),
with internal helpers grouped below.cpm() workflow into smaller
helpers (normalize_inputs,
resolve_include_cases,
apply_confounds_regression, etc.) while preserving
user-facing behavior.regress_counfounds().Rfast namespace import in favor of
explicit Rfast:: calls.summary.cpm() edge summarization path to avoid
mutating local object fields.summary() method to summarize the results of the
CPM analysis (#8).tidy() method to tidy the results of the CPM
analysis (#10).na_action argument in cpm()
function to handle missing values in the input data (#2).params to cpm() output to store the
input arguments (#14)."sum" be the default value for
return_edges argument.edges in the output be
edges and networks, respectively.cpm class.return_edges argument to optionally set how to
return edges in the output.
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