The main function s4vd() performs a biclustering via sparse
        singular value decomposition with a nested stability selection.
        The results is an biclust object and thus all methods of the
        biclust package can be applied.

A new object oriented programming system designed to be a successor 
  to S3 and S4. It includes formal class, generic, and method specification, 
  and a limited form of multiple dispatch. It has been designed and implemented 
  collaboratively by the R Consortium Object-Oriented Programming Working Group, 
  which includes representatives from R-Core, 'Bioconductor', 
  'Posit'/'tidyverse', and the wider R community.

Perform joint segmentation on two signal dimensions derived from 
    total read depth (intensity) and allele specific read depth (intensity) for 
    whole genome sequencing (WGS), whole exome sequencing (WES) and SNP array data.

Calculates a degree of spatial association between regionalizations 
    or categorical maps using the information-theoretical V-measure 
    (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>). It also
    offers an R implementation of the MapCurve method 
    (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).

Semiparametric empirical likelihood ratio
    based tests of change-point with one-change or epidemic alternatives
    with data-based model diagnostic are contained.

A modular and extendable approach to extract (micro)saccades from gaze samples via an ensemble of methods.
  Although there is an agreement about a general definition of a saccade, the more specific details are harder to agree upon.
  Therefore, there are numerous algorithms that extract saccades based on various heuristics, which differ in the assumptions about velocity,
  acceleration, etc. The package uses three methods (Engbert and Kliegl (2003) <doi:10.1016/S0042-6989(03)00084-1>,
  Otero-Millan et al. (2014)<doi:10.1167/14.2.18>, and Nyström and Holmqvist (2010) <doi:10.3758/BRM.42.1.188>)
  to label individual samples and then applies a majority vote approach to identify saccades. The package includes three
  methods but can be extended via custom functions. It also uses a modular approach to compute velocity and
  acceleration from noisy samples. Finally, you can obtain methods votes per gaze sample instead of saccades.