ape (>= 5.0), colorspace, memoise, phangorn (>= 2.2.1),
TreeTools (>= 1.1.0)

ape (>= 5.0), colorspace, memoise, phangorn (>= 2.2.1),
Rdpack, TreeTools (>= 1.1.0)
bookdown, cluster, kdensity, knitr, MASS, Quartet, rmarkdown,
Rcpp, testthat, Ternary (>= 1.1.2), TreeDistData (> 0.1.0),
TreeSearch, vdiffr

c(person("Martin R.", "Smith",
email="martin.smith@durham.ac.uk",
role=c("aut", "cre", "cph", "prg"),
comment=c(ORCID = "0000-0001-5660-1727")),
person("Roy", "Jonker", email="roy_jonker@magiclogic.com",
role=c("prg", "cph")),
person("Yong", "Yang", email="yongyanglink@gmail.com",
role=c("ctb", "cph")),
person("Yi", "Cao", role=c("ctb", "cph"))
)
Implements measures of tree similarity, including
information-based generalized Robinson-Foulds distances
(Phylogenetic Information Distance, Clustering Information Distance,
Matching Split Information Distance; Smith, 2020)
<doi:10.1093/bioinformatics/btaa614>;
Jaccard-Robinson-Foulds distances (Bocker et al. 2013)
<doi:10.1007/978-3-642-40453-5_13>,
including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>;
the Matching Split Distance (Bogdanowicz & Giaro 2012)
<doi:10.1109/TCBB.2011.48>;
Maximum Agreement Subtree distances;
the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the
Nearest Neighbour Interchange (NNI) distance, approximated per Li et al.
(1996) <doi:10.1007/3-540-61332-3_168>.
Includes tools for visualizing the landscape of a tree space, and for
calculating the median of a set of trees under any distance metric.
ape (>= 5.0), colorspace, memoise, phangorn (>= 2.2.1),
Rdpack, shiny, shinyjs, TreeTools (> 1.3.1)
bookdown, cluster, kdensity, knitr, MASS, protoclust,
Quartet, readxl, rmarkdown, Rcpp, rgl, testthat, Ternary (>=
1.1.2), TreeDistData (> 0.1.0), TreeSearch, vdiffr, viridisLite

Calculate and Map Distances Between Phylogenetic Trees
Implements measures of tree similarity, including
information-based generalized Robinson-Foulds distances
(Phylogenetic Information Distance, Clustering Information Distance,
Matching Split Information Distance; Smith, 2020)
<doi:10.1093/bioinformatics/btaa614>;
Jaccard-Robinson-Foulds distances (Bocker et al. 2013)
<doi:10.1007/978-3-642-40453-5_13>,
including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>;
the Matching Split Distance (Bogdanowicz & Giaro 2012)
<doi:10.1109/TCBB.2011.48>;
Maximum Agreement Subtree distances;
the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the
Nearest Neighbour Interchange (NNI) distance, approximated per Li et al.
(1996) <doi:10.1007/3-540-61332-3_168>.
Includes tools for visualizing mappings of tree space, for
calculating the median of sets of trees, and for computing the information
content of trees and splits.
ape (>= 5.0), colorspace, memoise, phangorn (>= 2.2.1), Rdpack
(>= 0.7), shiny, shinyjs, TreeTools (> 1.3.1)
bookdown, cluster, ggplot2, kdensity, knitr, MASS,
protoclust, Quartet, readxl, rmarkdown, Rcpp, rgl, testthat,
Ternary (>= 1.1.2), TreeDistData (> 0.1.0), TreeSearch,
Umatrix, vdiffr (>= 1.0.0)