Functions and example files to calculate the tRNA adaptation index,
  a measure of the level of co-adaptation between the set of tRNA genes and the 
  codon usage bias of protein-coding genes in a given genome. The methodology is
  described in dos Reis, Wernisch and Savva (2003) <doi:10.1093/nar/gkg897>, and 
  dos Reis, Savva and Wernisch (2004) <doi:10.1093/nar/gkh834>.

The function TailClassifier() suggests one of the following types of tail for your discrete data: 1) Power decaying tail; 2) Sub-exponential decaying tail; and 3) Near-exponential decaying tail. The function also provides an estimate of the parameter for the classified-distribution as a reference.

Provides functions implementing minimal distance estimation methods for parametric tail dependence models, as proposed in  
	 Einmahl, J.H.J., Kiriliouk, A., Krajina, A., and Segers, J. (2016) <doi:10.1111/rssb.12114> and 
	 Einmahl, J.H.J., Kiriliouk, A., and Segers, J. (2018) <doi:10.1007/s10687-017-0303-7>.

The goal of 'TailID' is to detect sensitive points in the tail of a dataset using techniques from Extreme Value Theory (EVT). It utilizes the Generalized Pareto Distribution (GPD) for assessing tail behavior and detecting inconsistent points with the Identical Distribution hypothesis of the tail. For more details see Manau (2025)<doi:10.4230/LIPIcs.ECRTS.2025.20>.

Set of tools to estimate the probability in the upper tail of the aggregate loss distribution using different methods: Panjer recursion, Monte Carlo simulations, Markov bound, Cantelli bound, Moment bound, and Chernoff bound.

Postprocessors refine predictions outputted from machine
    learning models to improve predictive performance or better satisfy
    distributional limitations. This package introduces 'tailor' objects,
    which compose iterative adjustments to model predictions. A number of
    pre-written adjustments are provided with the package, such as
    calibration. See Lichtenstein, Fischhoff, and Phillips (1977) 
    <doi:10.1007/978-94-010-1276-8_19>. Other methods and utilities to compose 
    new adjustments are also included. Tailors are tightly integrated with the 
    'tidymodels' framework.