- Avoid false positive in MKL testing environment.
-
VisualizeMatching()
allows more control over output format, and returns the matching (#124). -
DistanceFromMedian(Average = median)
allows calculation of MAD. -
SpectralEigens()
returns correct eigenvalues (smallest was overlooked). -
SpectralEigens()
handles values ofnEig
larger than the input. -
Anticipate new behaviour of
unlist(use.names = TRUE)
in R 4.5.
-
Islands()
allows the identification of islands of trees. -
Internal implementation of path and SPR distances, removing dependency on phangorn (and thus R 4.4).
-
Add progress bar within
.MaxValue()
-
Documentation improvements.
-
Fix
KCDiameter.multiPhylo()
for multiple trees.
-
Fix calculation error in
StrainCol()
. -
App: Display strain in 3D tree space viewer.
-
Support for distances between larger trees.
-
Support unrooted trees in
VisualizeMatching()
(#103).
-
Fix bug when comparing a "multiPhylo" object containing a single tree.
-
Documentation clarification: finding non-matching leaves.
- Support non-square matrices in
LAPJV()
.
-
StopParallel()
gainsquietly
argument to suppress unnecessary messages. -
Use "PlotTools" package for spectrum legends.
-
Minor documentation tweaks.
-
Support comparison of trees with different tips.
-
Fix caching errors in
MapDist()
(#98). -
Update tests for compatibility with ape 5.7.
-
New functions to measure cluster sizes (see
?"cluster-statistics"
). -
KMeansPP()
conducts clustering using K-means++, replacing K-means in app. -
New vignette on tree landscape analysis.
-
New vignette on how to compare tree sets.
-
PathVector()
now treats trees with a root node as rooted. -
Fix plot layout in treespace vignette.
-
Informative failure when not enough memory for
consensus_info()
. -
Replace
throw
withstop
in C++.
-
Correct calculation of trustworthiness and continuity metrics.
-
Depict strain in minimum spanning trees with
StrainCol()
and helper functionMSTSegments()
. -
Update tests for consistency with "TreeTools" v1.7.
-
Use lighter Rcpp headers.
-
Support
ConsensusInfo(p > 0.5)
. -
Address hypervolume comparison in vignettes.
-
Support uniform manifold approximation and projection in app.
-
Speed improvements, using optimizations suggested by Alexis Stamatakis' Bioinformatics group.
-
Support for parallel computation via
StartParallel()
. -
Progress bars.
-
Solaris compatibility.
-
Modest vignette improvements.
-
spic/scic abbreviation recognition.
-
ConsensusInfo()
quickly calculates the splitwise information content of the consensus of a set of trees, after Smith (forthcoming). -
SplitwiseInfo()
andClusteringInfo()
gain ap
parameter to reflect the reduced information content of splits with lower support values, and asum
parameter to allow return of individual split information content. -
KCDiameter()
approximates the diameter of the Kendall-Colijn metric. -
Plot3()
(experimental) provides pseudo-3D plotting.
-
Project()
/ProjectionQuality()
re-named toMapTrees()
/MappingQuality()
. -
SpectralClustering()
re-named toSpectralEigens()
.
-
Add self-organizing map example to treespace vignette.
-
Allow the specification of custom vectors in the Kendall--Colijn metric.
-
Faster all-to-all tree distance calculation.
-
Diagnose and fix memory leaks, including over-long reported matchings.
-
Explicitly import shiny/shinyjs functions.
-
Project()
launches 'shiny' app for projection and analysis of tree space. -
ProjectionQuality()
calculates trustworthiness and continuity of tree space mappings. -
Faster calculation of Robinson–Foulds distance (using algorithm of Day (1985)) and clustering information distance.
-
New class
ClusterTable
to allow faster distance computation with Day (1985) algorithm. -
Improve error messages in
CalculateTreeDist()
. -
Improvements to vignettes.
-
Use package 'vdiffr' conditionally.
- Import RdMacros package 'RdPack'.
-
TreeDistance()
and related functions now return adist
object when computing all distances between all pairs of trees in a list. -
Improve floating-point arithmetic in
TreeDistance()
functions. -
TreeDistance()
now returns a distance (as documented), rather than a similarity. -
Fix rounding error in NNI 'Li' upper estimate, and improve NNI performance.
-
Reduce precision of LAPJV so rounding errors do not result in interminable run times.
- Fix range errors when calculating tree distances.
-
Improvements to
NNIDist()
in light of Fack et al. (2002). -
Add
NNIDiameter()
: approximate diameter of NNI distance. -
Remove vignette 'Interpreting tree distances': duplicates https://ms609.github.io/TreeDistData/articles/09-expected-similarity.html.
-
Remove redundant data object
oneOverlap
. -
Fix an issue when installing on R 3.x (require C++11 to ensure declaration of
UINT_FAST16_MAX
). -
Fix memory-handling bug in
lapjv()
.
- Initial release, building on some draft functions included in 'TreeSearch' 0.3.2.9005.