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bundle_set S7 class — a named collection of
bundle objects for multi-subject or multi-session
studies.is_bundle_set() predicate,
format()/print()/length()/names()/[[/[
methods for bundle_set.as_bundle_set() generic with methods for
bundle_set (identity) and bundle (wrap).bind_bundle_sets() to combine named
bundle objects and/or bundle_set objects into
a single bundle_set.streamline validator:
@point_data entries no longer need to be numeric (any
vector of the correct length is accepted); @streamline_data
entries no longer need to be numeric either (any scalar is accepted).
Non-numeric @point_data entries are dropped with a warning
when reparametrize() is called, since they have no natural
arc-length interpolant.\value documentation to the
compute_hausdorff_distance() catch-all method (#CRAN).\dontrun{} with
if (requireNamespace("dti", quietly = TRUE)) {} in the
as_dwifiber() example (#CRAN).new_streamline() and
new_bundle() constructors.dwiFiber S4 class of the
dti package.streamline and bundle. The previous
tibble-based streamline and list-based tract
are removed.new_streamline() / new_bundle()
constructors for the S7 classes.bind_bundles() combines any mix of
streamlines and bundles into a single
bundle.reparametrize() resamples a streamline or
every streamline in a bundle onto a uniform arc-length
grid.get_euclidean_length(),
get_curvilinear_length(), get_sinuosity() —
geometric shape scalars.get_curvature(), get_torsion() — full
curvature/torsion profiles or summary scalars ("mean",
"sd", "max").get_hausdorff_distance() — symmetric Hausdorff distance
between two streamlines.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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