# Version 1.70.11
- Replaced ::Rf_error with Rcpp::stop()
- Added vignette on the effect of tree size
- Added vignette visualizing correlations between statistics

# Version 1.70.10
- Added matrix-free calculations for eigenvalue related calculations, for the
eigenvector and the adjacency matrix related summary statistics. These are no
longer restricted by tree size (although for very large trees, calculations
might still take considerable time, scaling is much better now).
- Added matrix-free calculations for the min_max laplacian function
- Note that the RSpectra related statistics are NOT matrix free possible: these
require all distances between all tips and all nodes, which can not be done
matrix-free (so these are restricted to trees < ~20k nodes, and relatively
slow).
- Removed the large trees function as now we can calculate most statistics
anyway for these large trees.

# Version 1.70.9
- Added function to calculate statistics for large trees, which skips several
distance matrix based statistics that can cause extreme memory usage

# Version 1.70.8
- Removed all references and vignettes making use of the package abcrf, as this is longer available on CRAN.
- Improved compliance to noSuggests CRAN policy.

# Version 1.70.7
- Fixed numerical issue in calculating mean pair distance for very large trees
- Now use armadillo to calculate Eigen values.
- Added the function 'sshape', which was previously called the blum statistic (the blum function remains available as well). Thanks Sophie Kersting for 
pointing this out!
- Polished the manual.

# Version 1.70.6
- Added support for unrooted trees
- Added check if tree is unrooted, and aborting if statistic does not support
this
- Updated reference table in the README file, showing which statistics are
available for unrooted trees, and which statistics (appear) to be affected by
root position
- Using treebalance functions when treestats functions do not suffice (e.g.
for rquartet for polytomous trees)
- Updated Wiener test, to include distance matrix based calculation

# Version 1.70.5

Updated references.

# Version 1.70.4

- Removed C++20 dependency

# Version 1.70.3

- Version numbering has improved to include the number of statistics available.

# Version 1.1.3

- Reduced dependencies, Matrix and RSpectra are no longer required (but availability will improve speed!)
- calc_all_stats, calc_topology_stats and calc_brts_stats no longer return a named list, but return a named vector, for ease of rapid calculation across many trees

# Version 1.1.2

- Removed dependencies to nodeSub by integrating functions to generate fully balanced and unbalanced into treestats.
- Renamed 'calc_balance_stats' to 'calc_topology_stats', and included only statistics that take the topology (without the branch lengths) into account.

# Version 1.1.1

- Added the following statistics:

-   minimum(\>0) eigenvalue of the Adjacency matrix

-   maximum eigenvalue of the Adjacency matrix

-   minimum(\>0) eigenvalue of the Laplacian matrix

-   maximum eigenvalue of the Laplacian matrix

-   double cherries

-   root imbalance

-   four prong

Renamed eigenvector to eigen_centrality (in line with the analogous function in igraph)

# Version 1.1.0

Add several new statistics:

-   Colless-corrected

-   Colless-Quadratic

-   Total path index

-   Total internal path index

-   Average vertex depth

-   Max Width over Max Depth

# Version 1.0.7

- Added checks to each statistic verifying the statistic requires an ultrametric or binary tree - this should avoid some rare instances where memory access violations would pop up when providing a non-binary tree to a statistic assuming a binary input phylogeny. Many thanks to Fien Strijthaegen for pointing this out.

# Version 1.0.6

- Added treeness statistic

# Version 1.0.5

- Squashed a bug in imbalance_steps that would incorrectly calculate for smaller trees
- Added bioRxiv link to DESCRIPTION
- Added CITATION file

# Version 1.0.4

- Corrected wording of variation in branch length statistics to correctly reflect variance, instead of variation

# Version 1.0.3

- First release to CRAN
