In tumor tissue, underlying genomic instability can lead to DNA copy number alterations,
	e.g., copy number gains or losses. Sporadic copy number alterations occur randomly throughout the
	genome, whereas recurrent alterations are observed in the same genomic region across multiple
	independent samples, perhaps because they provide a selective growth advantage. Here we use
	cyclic shift permutations to identify recurrent copy number alterations in a single cohort or
	recurrent copy number differences in two cohorts based on a common set of genomic markers.
	Additional functionality is provided to perform downstream analyses, including the creation of
	summary files and graphics. DiNAMIC.Duo builds upon the original DiNAMIC package of Walter et al.
	(2011) <doi:10.1093/bioinformatics/btq717> and leverages the theory developed in Walter et al.
	(2015) <doi:10.1093/biomet/asv046>. An article describing DiNAMIC.Duo by Walter et al. (2022)
	can be found at <doi: 10.1093/bioinformatics/btac542>.

Decomposition of (income) inequality by population sub groups. 
    For a decomposition on a single variable the mean log deviation can be used
      (see Mookherjee Shorrocks (1982) <DOI:10.2307/2232673>).
    For a decomposition on multiple variables a regression based technique can be 
      used (see Fields (2003) <DOI:10.1016/s0147-9121(03)22001-x>).
    Recentered influence function regression for marginal effects of the (income 
      or wealth) distribution  (see Firpo et al. (2009) <DOI:10.3982/ECTA6822>).
    Some extensions to inequality functions to handle weights and/or missings.

An efficient and convenient set of functions to perform differential network estimation through the use of alternating direction method of multipliers optimization with a variety of loss functions.

S3 classes and methods to create and work
    with year-quarter, year-month and year-isoweek vectors. Basic
    arithmetic operations (such as adding and subtracting) are supported,
    as well as formatting and converting to and from standard R date
    types.