fiber 0.1.2
- Added
bundle_set S7 class — a named collection of
bundle objects for multi-subject or multi-session
studies.
- Added
is_bundle_set() predicate,
format()/print()/length()/names()/[[/[
methods for bundle_set.
- Added
as_bundle_set() generic with methods for
bundle_set (identity) and bundle (wrap).
- Added
bind_bundle_sets() to combine named
bundle objects and/or bundle_set objects into
a single bundle_set.
- Relaxed the
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.
- Added missing
\value documentation to the
compute_hausdorff_distance() catch-all method (#CRAN).
- Replaced
\dontrun{} with
if (requireNamespace("dti", quietly = TRUE)) {} in the
as_dwifiber() example (#CRAN).
fiber 0.1.1
- Improved documentation of S7 classes, generics and methods following
the release of roxygen2 8.0.0.
- Removed redundant
new_streamline() and
new_bundle() constructors.
- Added coercers from and to the
dwiFiber S4 class of the
dti package.
- Refactored shape descriptors API.
- Rewrote pairwise Hausdorff distance matrix using C++ via the cpp11 package.
- Created the tractoverse GitHub organization and transferred fiber
repository to it.
fiber 0.1.0
Breaking changes
- The package has been rebuilt from scratch around two S7 classes:
streamline and bundle. The previous
tibble-based streamline and list-based tract
are removed.
New features
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.
Dependencies
- Runtime dependencies reduced to S7,
rlang, and cli only.