Big*

R/tree_distance_info.R

@@ -13,7 +13,7 @@
 #' 
 #' The methods implemented here use the concepts of 
 #' [entropy and information](https://ms609.github.io/TreeDist/articles/information.html)
-#' \insertCite{Mackay2003}{TreeDist} to assign a similarity score between each
+#' \insertCite{Mackay2003}{BigTreeDist} to assign a similarity score between each
 #' pair of splits.
 #' 
 #' The returned tree similarity measures state the amount of information, 

R/tree_distance_msd.R

@@ -2,7 +2,7 @@
 #' 
 #' Calculate the 
 #' [Matching Split Distance](https://ms609.github.io/TreeDist/articles/Generalized-RF.html#matching-split-distance)
-#' \insertCite{Bogdanowicz2012,Lin2012}{TreeDist} for unrooted binary trees.
+#' \insertCite{Bogdanowicz2012,Lin2012}{BigTreeDist} for unrooted binary trees.
 #' 
 #' Trees need not contain identical leaves; scores are based on the leaves that
 #' trees hold in common.  Check for unexpected differences in tip labelling

R/tree_distance_nye.R

@@ -2,7 +2,7 @@
 #' 
 #' `NyeSimilarity()` and `NyeSplitSimilarity()` implement the 
 #' [Generalized Robinson–Foulds](https://ms609.github.io/TreeDist/articles/Robinson-Foulds.html#generalized-robinson-foulds-distances)
-#' tree comparison metric of \insertCite{Nye2006;textual}{TreeDist}.
+#' tree comparison metric of \insertCite{Nye2006;textual}{BigTreeDist}.
 #' In short, this finds the optimal matching that pairs each branch from
 #' one tree with a branch in the second, where matchings are scored according to
 #' the size of the largest split that is consistent with both of them,
@@ -112,7 +112,7 @@ NyeSplitSimilarity <- function(splits1, splits2,
 #' 
 #' Calculate the 
 #' [Jaccard&ndash;Robinson&ndash;Foulds metric](https://ms609.github.io/TreeDist/articles/Generalized-RF.html#jaccard-robinson-foulds-metric)
-#' \insertCite{Bocker2013}{TreeDist}, a 
+#' \insertCite{Bocker2013}{BigTreeDist}, a 
 #' [Generalized Robinson&ndash;Foulds metric](https://ms609.github.io/TreeDist/articles/Robinson-Foulds.html#generalized-robinson-foulds-distances).
 #' 
 #' In short, the Jaccard&ndash;Robinson&ndash;Foulds