Input multiple versions of a source document, 
    and receive HTML code for a highlighted version of the source document
    indicating the frequency of occurrence of phrases in the different versions.
    This method is described in Chapter 3 of 
    Rogers (2024) <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.

Provides various tests for comparing high-dimensional mean vectors in two sample populations.

Perform high dimensional Feature Selection in the presence of survival outcome.
            Based on Feature Selection method and different survival analysis, it will obtain the best 
            markers with optimal threshold levels according to their effect on disease progression
            and produce the most consistent level according to those threshold values. 
            The functions' methodology is based on by Sonabend et al (2021) <doi:10.1093/bioinformatics/btab039>  and Bhattacharjee  et al (2021) <arXiv:2012.02102>.

The classical Markowitz's mean-variance portfolio formulation ignores 
    heavy tails and skewness. High-order portfolios use higher order moments to
    better characterize the return distribution. Different formulations and fast 
    algorithms are proposed for high-order portfolios based on the mean, variance, 
    skewness, and kurtosis.
    The package is based on the papers:
    R. Zhou and D. P. Palomar (2021). "Solving High-Order Portfolios via 
    Successive Convex Approximation Algorithms." <arXiv:2008.00863>.
    X. Wang, R. Zhou, J. Ying, and D. P. Palomar (2022). "Efficient and Scalable 
    High-Order Portfolios Design via Parametric Skew-t Distribution." <arXiv:2206.02412>.

Provides syntax highlighting for R source code. Currently it
    supports LaTeX and HTML output. Source code of other languages is supported
    via Andre Simon's highlight package (<https://gitlab.com/saalen/highlight>).

Functions for determining and evaluating high-risk zones and
    simulating and thinning point process data, as described in 'Determining
    high risk zones using point process methodology - Realization by building
    an R package' Seibold (2012) <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf> 
    and 'Determining high-risk zones for unexploded World War II bombs by using point 
    process methodology', Mahling et al. (2013) <doi:10.1111/j.1467-9876.2012.01055.x>.