The R package proposes extreme value index estimators for heavy tailed models 
             by mean of order p <DOI:10.1016/j.csda.2012.07.019>, peaks over random threshold
             <DOI:10.57805/revstat.v4i3.37> and a bias-reduced estimator 
             <DOI:10.1080/00949655.2010.547196>.
	     The package also computes moment, generalised Hill <DOI:10.2307/3318416> 
	     and mixed moment estimates for the extreme value index.
	     High quantiles and value at risk estimators based on these estimators are implemented.

Commonly used classification and regression tree methods like the CART algorithm
             are recursive partitioning methods that build the model in a forward stepwise search.
	     Although this approach is known to be an efficient heuristic, the results of recursive
	     tree methods are only locally optimal, as splits are chosen to maximize homogeneity at
	     the next step only. An alternative way to search over the parameter space of trees is
	     to use global optimization methods like evolutionary algorithms. The 'evtree' package
	     implements an evolutionary algorithm for learning globally optimal classification and
	     regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while
	     the 'partykit' package is leveraged to represent the resulting trees in R, providing
	     unified infrastructure for summaries, visualizations, and predictions.

Implements the probability mass function of, and random draws from, the Ewens distribution, a probability distribution over partitions of integer, as described in Ewens (1972) <doi:10.1016/0040-5809(72)90035-4>.

Contains a large number of the goodness-of-fit tests for the Exponential and Weibull distributions classified into families: the tests based on the empirical distribution function, the tests based on the probability plot, the tests based on the normalized spacings, the tests based on the Laplace transform and the likelihood based tests.

Implements Escalation With Overdose Control trial designs using two drug combinations described by this paper <doi:10.1002/sim.6961>(Tighiouart et al., 2016). It calculates the recommended dose for next cohorts and perform simulations to obtain operating characteristics.