Provides tools for analyzing metabolic pathway completeness, abundance, and transcripts
    using KEGG Orthology (KO) data from (meta)genomic and (meta)transcriptomic studies.
    Supports both completeness (presence/absence) and abundance-weighted analyses.
    Includes built-in KEGG reference datasets. For more details see Li et al. (2023) <doi:10.1038/s41467-023-42193-7>.

Read, inspect and process corpus files for quantitative corpus linguistics.
  Obtain concordances via regular expressions, tokenize texts,
  and compute frequencies and association measures. Useful for collocation analysis,
  keywords analysis and variationist studies (comparison of linguistic variants
  and of linguistic varieties).

Provides estimators for multinomial logit models in their
    conditional logit and baseline logit variants, with or without random effects,
    with or without overdispersion. 
    Random effects models are estimated using the PQL technique (based on a Laplace approximation)
    or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated
    with caution if the group sizes are small.

Gaussian finite mixture models fitted via EM algorithm for
  model-based clustering, classification, and density estimation, 
  including Bayesian regularization, dimension reduction for 
  visualisation, and resampling-based inference.

Extend the functionality of the 'mclust' package for Gaussian
    finite mixture modeling by including: density estimation for data with
    bounded support (Scrucca, 2019 <doi:10.1002/bimj.201800174>); modal
    clustering using MEM (Modal EM) algorithm for Gaussian mixtures
    (Scrucca, 2021 <doi:10.1002/sam.11527>); entropy estimation via
    Gaussian mixture modeling (Robin & Scrucca, 2023
    <doi:10.1016/j.csda.2022.107582>); Gaussian mixtures modeling of 
    financial log-returns (Scrucca, 2024 <doi:10.3390/e26110907>).

Given a set of data points, a clustering is defined as a disjoint partition
    where each pair of sets in a partition has no overlapping elements. 
    This package provides 25 methods that play a role somewhat similar to 
    distance or metric that measures similarity of two clusterings - or partitions.
    For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.