v2.0.0

• Project() launches 'shiny' app for projection and analysis of tree space.

• ProjectionQuality() calculates trustworthiness and continuity of tree
  space projections.

• 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.

v1.2.1

Import RdMacros package 'RdPack'.

v1.2.0

• TreeDistance() and related functions now return a dist 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.

v1.1.1

• 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().

• Fix range errors when calculating tree distances.

C++

• Use C++ to calculate distances more quickly
• Draw on TreeTools library