Textual statistics functions formerly in the 'quanteda' package.
    Textual statistics for characterizing and comparing textual data. Includes 
    functions for measuring term and document frequency, the co-occurrence of 
    words, similarity and distance between features and documents, feature entropy, 
    keyword occurrence, readability, and lexical diversity.  These functions 
    extend the 'quanteda' package and are specially designed for sparse textual data.

A quantitative and automated tool to extract
    (palaeo)biological information (i.e., measurements, velocities,
    similarity metrics, etc.) from the analysis of tetrapod trackways.
    Methods implemented in the package draw from several sources,
    including Alexander (1976) <doi:10.1038/261129a0>,
    Batschelet (1981, ISBN:9780120810505),
    Benhamou (2004) <doi:10.1016/j.jtbi.2004.03.016>,
    Bovet and Benhamou (1988) <doi:10.1016/S0022-5193(88)80038-9>,
    Cheung et al. (2007) <doi:10.1007/s00422-007-0158-0>,
    Cheung et al. (2008) <doi:10.1007/s00422-008-0251-z>,
    Cleasby et al. (2019) <doi:10.1007/s00265-019-2761-1>,
    Farlow et al. (1981) <doi:10.1038/294747a0>,
    Ostrom (1972) <doi:10.1016/0031-0182(72)90049-1>,
    Rohlf (2008) <https://sbmorphometrics.org/>,
    Rohlf (2009) <https://sbmorphometrics.org/>,
    Ruiz and Torices (2013) <doi:10.1080/10420940.2012.759115>,
    Scrucca et al. (2016) <doi:10.32614/RJ-2016-021>,
    Thulborn and Wade (1984) <https://www.museum.qld.gov.au/collections-and-research/memoirs/nature-21/mqm-n21-2-11-thulborn-wade>.

Provides different functions for quantifying qualitative survey data. It supports the Carlson-Parkin method, the regression approach, the balance approach and the conditional expectations method.

Code for centroid, median and quantile classifiers.

Functions for simulation, estimation, and model selection of
        finite mixtures of Tukey g-and-h distributions.

Based on Alan D. Hutson (1999) <doi:10.1080/02664769922458>, "Calculating nonparametric confidence intervals for quantiles using fractional order statistics", Journal of Applied Statistics, 26:3, 343-353.