Common coordinate-based workflows involving processed chromatin loop and genomic element data are considered and packaged into appropriate customizable functions. Includes methods for linking element sets via chromatin loops and creating consensus loop datasets.

Change-point detection algorithm with
 label constraints and a penalty for each change outside of labels.
 Read TD Hocking, A Srivastava (2023) <doi:10.1007/s00180-022-01238-z>
 for details.

Estimates marginal likelihood from a posterior sample using the method described in Wang et al. (2023) <doi:10.1093/sysbio/syad007>, which does not require evaluation of any additional points and requires only the log of the unnormalized posterior density for each sampled parameter vector.

Analysis of Differential Item Functioning (DIF) for
        dichotomous and polytomous items using an iterative hybrid of
        ordinal logistic regression and item response theory (IRT).

Estimate covariance matrices that contain low rank and sparse components

Quickly generate lorem ipsum placeholder text. Easy to
    integrate in RMarkdown documents. Includes an RStudio addin to insert
    lorem ipsum into the current document.

The Lorentz transform in special relativity; also the
    gyrogroup structure of three-velocities.  Performs active and
    passive transforms and has the ability to use units in which the
    speed of light is not unity.  Includes some experimental
    functionality for celerity and rapidity.  For general relativity,
    see the 'schwarzschild' package.

Provides two methods of estimating income inequality statistics from binned income data, such as the income data provided in the Census.
  These methods use different interpolation techniques to infer the distribution of incomes within income bins.  One method is an implementation of 
  Jargowsky and Wheeler's mean-constrained integration over brackets (MCIB).  The other method is based on a new technique, Lorenz interpolation, 
  which estimates income inequality by constructing an interpolated Lorenz curve based on the binned income data.  These methods can be used to 
  estimate three income inequality measures: the Gini (the default measure returned), the Theil, and the Atkinson's index.  
  Jargowsky and Wheeler (2018) <doi:10.1177/0081175018782579>.