Implements a methodology for using cell volume
        distributions to estimate cell growth rates and division times
        that is described in the paper entitled, "Cell Volume
        Distributions Reveal Cell Growth Rates and Division Times", by
        Michael Halter, John T. Elliott, Joseph B. Hubbard, Alessandro
        Tona and Anne L. Plant, which is in press in the Journal of
        Theoretical Biology.  In order to reproduce the analysis used
        to obtain Table 1 in the paper, execute the command
        "example(fitVolDist)".

Tools for detecting cellwise outliers and robust methods to analyze
    data which may contain them. Contains the implementation of the algorithms described in
    Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access)
    Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access),
    Raymaekers and Rousseeuw (2021) <doi:10.1080/00401706.2019.1677270> (open access),
    Raymaekers and Rousseeuw (2021) <doi:10.1007/s10994-021-05960-5> (open access),
    Raymaekers and Rousseeuw (2021) <doi:10.52933/jdssv.v1i3.18> (open access),
    Raymaekers and Rousseeuw (2022) <arXiv:2207.13493> (open access)
    Rousseeuw (2022) <doi:10.1016/j.ecosta.2023.01.007> (open access).
    Examples can be found in the vignettes:
    "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples",
    "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples",
    and "cellwise_weights_examples".

Implementation of the Coarsened Exact Matching algorithm discussed 
	along with its properties in
  Iacus, King, Porro (2011) <DOI:10.1198/jasa.2011.tm09599>;
	Iacus, King, Porro (2012) <DOI:10.1093/pan/mpr013> and
	Iacus, King, Porro (2019) <DOI:10.1017/pan.2018.29>.

'CemCO' algorithm, a model-based (Gaussian) clustering algorithm that removes/minimizes the effects of undesirable covariates during the clustering process both in cluster centroids and in cluster covariance structures (Relvas C. & Fujita A., (2020) <arXiv:2004.02333>).