Statistical models of biased sampling in the form of 
  univariate and multivariate noncentral hypergeometric distributions, 
  including Wallenius' noncentral hypergeometric distribution and
  Fisher's noncentral hypergeometric distribution. 
  See vignette("UrnTheory") for explanation of these distributions.
  Literature: 
  Fog, A. (2008a). Calculation Methods for Wallenius' Noncentral Hypergeometric Distribution, Communications in Statistics, Simulation and Computation, 37(2) <doi:10.1080/03610910701790269>.
  Fog, A. (2008b). Sampling methods for Wallenius’ and Fisher’s noncentral hypergeometric distributions, Communications in Statistics—Simulation and Computation, 37(2)
  <doi:10.1080/03610910701790236>.

Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.

A simple R wrapper for the Java BiBit algorithm from "A
    biclustering algorithm for extracting bit-patterns from binary datasets"
    from Domingo et al. (2011) <DOI:10.1093/bioinformatics/btr464>. An simple adaption for the BiBit algorithm which allows noise in the biclusters is also introduced as well as a function to guide the algorithm towards given (sub)patterns. Further, a workflow to derive noisy biclusters from discoverd larger column patterns is included as well.

Reading and writing BibTeX files using data frames in R sessions.

Tool for quantitative research in scientometrics and bibliometrics.
    It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and 
    Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>.
    'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS',
    'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' 
	(<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>),  'Lens' (<https://lens.org>), 
	and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis 
    and building networks for co-citation, coupling, scientific collaboration and co-word analysis.