Implements multiple change searching algorithms for a variety of 
    frequently considered parametric change-point models. In particular, it 
    integrates a criterion proposed by Zou, Wang and Li (2020) 
    <doi:10.1214/19-AOS1814> to select the number of change-points in a 
    data-driven fashion. Moreover, it also provides interfaces for 
    user-customized change-point models with one's own cost function and 
    parameter estimation routine. It is easy to get started with the 
    cpss.* set of functions by accessing their documentation pages 
    (e.g., ?cpss).

Nonparametric change point estimation for survival data based on p-values of exact binomial tests.

Simulates time-to-event data
    with type I right censoring using two methods: the inverse CDF
    method and our proposed memoryless method. The latter method
    takes advantage of the memoryless property of survival and
    simulates a separate distribution between change-points. We
    include two parametric distributions: exponential and Weibull.
    Inverse CDF method draws on the work of Rainer Walke (2010), 
    <https://www.demogr.mpg.de/papers/technicalreports/tr-2010-003.pdf>.

Provides automated methods for downloading, recoding, and merging 
    selected years of the Current Population Survey's Voting and Registration 
    Supplement, a large N national survey about registration, voting, and 
    non-voting in United States federal elections. Provides documentation for 
    appropriate use of sample weights to generate statistical estimates, 
    drawing from Hur & Achen (2013) <doi:10.1093/poq/nft042> and McDonald (2018) 
    <http://www.electproject.org/home/voter-turnout/voter-turnout-data>.

Non-parametric test for equality of multivariate distributions.  Trains a classifier to classify (multivariate) observations as coming from one of several distributions.  If the classifier is able to classify the observations better than would be expected by chance (using permutation inference), then the null hypothesis that the distributions are equal is rejected.