Offers a set of functions for extending
    'dendrogram' objects in R, letting you visualize and compare trees of
    'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters
    - the color, size, type, etc of its branches, nodes and labels. (2)
    Visually and statistically compare different 'dendrograms' to one another.

There are various functions for managing and cleaning data before the application of different approaches. This includes identifying and erasing sudden jumps in dendrometer data not related to environmental change, identifying the time gaps of recordings, and changing the temporal resolution of data to different frequencies. Furthermore, the package calculates daily statistics of dendrometer data, including the daily amplitude of tree growth. Various approaches can be applied to separate radial growth from daily cyclic shrinkage and expansion due to uptake and loss of stem water. In addition, it identifies periods of consecutive days with user-defined climatic conditions in daily meteorological data, then check what trees are doing during that period.

Provides extra functions to manipulate dendrograms
    that build on the base functions provided by the 'stats' package. The main
    functionality it is designed to add is the ability to colour all the edges
    in an object of class 'dendrogram' according to cluster membership i.e. each
    subtree is coloured, not just the terminal leaves. In addition it provides
    some utility functions to cut 'dendrogram' and 'hclust' objects and to 
    set/get labels.

Computation of dendrometric and structural 
   parameters from forest inventory data. The objective is to provide an 
   user-friendly R package for researchers, ecologists, foresters, 
   statisticians, loggers and others persons who deal with forest inventory 
   data. Useful conversion of angle value from degree to radian, conversion from 
   angle to slope (in percentage) and their reciprocals as well as principal 
   angle determination are also included. Position and dispersion parameters 
   usually found in forest studies are implemented. The package contains 
   Fibonacci series, its extensions and the Golden Number computation.
   Useful references are Arcadius Y. J. Akossou, Soufianou Arzouma, 
   Eloi Y. Attakpa, Noël H. Fonton and Kouami Kokou (2013) <doi:10.3390/d5010099> 
   and W. Bonou, R. Glele Kakaï, A.E. Assogbadjo, H.N. Fonton, B. Sinsin (2009) 
   <doi:10.1016/j.foreco.2009.05.032> .