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streamline: @point_data holds
numeric-only attributes (e.g. fractional
anisotropy).
bundle: @bundle_data is now restricted
to named lists of scalars (length-1 values, any type).
Previously arbitrary R objects were accepted. Non-scalar values
(e.g. affine matrices stored as a single @bundle_data
entry) must be split into individual scalar entries or moved
elsewhere.
bundle_set: @set_data is now restricted
to named lists of scalars (length-1 values, any type),
consistent with @bundle_data at the bundle level.
format() and print() methods for
streamline, bundle, and
bundle_set now use {cli} for styled, ANSI-aware console
output. Unknown shape descriptors passed to
add_shape_descriptors() now emit structured
cli::cli_warn() messages instead of base-R warnings.bundle gains a @streamline_data slot —
a named list of vectors of length \(S\)
(one entry per streamline) — for per-streamline attributes aggregated at
the bundle level. add_shape_descriptors() now stores scalar
descriptors (euclidean_length,
curvilinear_length, sinuosity) directly in
bundle@streamline_data rather than in each individual
streamline.
bundle_set gains a @bundle_data slot —
a named list of vectors of length \(B\)
(one entry per bundle) — for per-bundle attributes aggregated at the set
level.
Automatic attribute lifting: when constructing a
bundle, any @streamline_data key present in
all supplied streamlines is automatically copied into
bundle@streamline_data as a length-\(S\) vector. The same happens one level up:
common @bundle_data keys are lifted into
bundle_set@bundle_data when constructing a
bundle_set. Individual child slots are dropped;
parent-level values take precedence on conflict.
Subsetting push-down: bundle[[i]]
now pushes the corresponding bundle@streamline_data values
back into the extracted streamlines’ @streamline_data.
Likewise bundle_set[[i]] and pushes
bundle_set@bundle_data values into the extracted bundles’
@bundle_data.
bundle_set: @bundles no longer needs to
be a named list. Names are used to populate a bundle attribute vector
called id_from_input_list and names are then dropped from
the input list.
bundle() constructor gains a
streamline_data argument for supplying per-streamline data
explicitly (overrides automatic lifting).
bind_bundles() gains a streamline_data
argument.
bind_bundle_sets() gains a bundle_data
argument. Bare bundle arguments no longer need to be
named.
as_bundle_set() method for bundle: the
name argument is now optional (default NULL);
omitting it creates an unnamed single-element
bundle_set.
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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