Title: Extending 'Dendrogram' Functionality in R
person("Yoav", "Benjamini", email = "ybenja@tau.ac.il",role = "ths"))
Enhances: ggdendro, labeltodendro,dendroextras, Hmisc, data.table,

profdpm, microbenchmark, gplots, NMF, heatmaply, d3heatmap,

"https://github.com/JohnMCMa", role = "ctb"),  person("Yoav", "Benjamini", email = "ybenja@tau.ac.il",role = "ths"))

"https://github.com/storaged", role = "ctb"), person("Yoav", "Benjamini", email = "ybenja@tau.ac.il",role = "ths"))

Title: Faster dendrogram manipulation using Rcpp
person("Romain", "Francois", role = "ctb"), person("Dirk", "Eddelbuettel",
role = "ctb"), person("Kevin", "Ushey", role = "ctb"),
Description: This package offers faster manipulation of dendrogram objects in
R. A dendrogram object in R is a list structure with attributes in its
nodes and leaves. Working with dendrogram objects often require a function
to recursively go through all (or most) element in the list object.
Naturally, such function are rather slow in R, but can become much faster

Title: Faster Dendrogram Manipulation using 'Rcpp'
Description: Offers faster manipulation of dendrogram objects in

Title: Nonlinear Methods for Analyzing Dendroclimatological Data
Author: Jernej Jevsenak [aut, cre], Tom Levanic [ctb]
Description: Provides novel dendroclimatological methods, primarily used by the
Tree-ring research community. The core function is daily_response(), which
finds the optimal sequence of days that are linearly or nonlinearly related

Tree-ring research community. There are two core functions. The first one is
daily_response(), which finds the optimal sequence of days that are related
to one or more tree-ring proxy records. The second one is compare_methods(),
which effectively compares linear and several nonlinear regression algorithms.

Title: Linear and Nonlinear Methods for Analyzing Dendroclimatological
which effectively compares several linear and nonlinear regression algorithms.
Suggests: testthat, dplR, knitr, rmarkdown

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly