Allows Brownian motion, fractional Brownian motion,
    and integrated Ornstein-Uhlenbeck process components to
    be added to linear and non-linear mixed effects models
    using the structures and methods of the 'nlme' package.

A compilation of tests for hypotheses regarding covariance
    and correlation matrices for one or more groups. The hypothesis can
    be specified through a corresponding hypothesis matrix and a vector or
    by choosing one of the basic hypotheses, while for the structure test,
    only the latter works. Thereby Monte-Carlo and Bootstrap-techniques
    are used, and the respective method must be chosen, and the functions
    provide p-values and mostly also estimators of calculated covariance
    matrices of test statistics. For more details on the methodology, see 
    Sattler et al. (2022) <doi:10.1016/j.jspi.2021.12.001>,
    Sattler and Pauly (2024) <doi:10.1007/s11749-023-00906-6>, and
    Sattler and Dobler (2025) <doi:10.48550/arXiv.2310.11799>.

Produce forest plots to visualize covariate effects using either
    the command line or an interactive 'Shiny' application.

Computes p-values using the largest root test using 
    an approximation to the null distribution by Johnstone (2008) <DOI:10.1214/08-AOS605>.

Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms:
	OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ;
	NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ;
	Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ;
	Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.

Process Digital Cover Photography images of tree canopies to get canopy attributes like Foliage Cover and Leaf Area Index. 
    Detailed description of the methods in Chianucci et al. (2022) <doi:10.1007/s00468-018-1666-3>.