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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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