Implements the iterated RMCD method of Cerioli (2010)
	for multivariate outlier detection via robust Mahalanobis distances. Also
	provides the finite-sample RMCD method discussed in the paper, as well as 
	the methods provided in Hardin and Rocke (2005) <doi:10.1198/106186005X77685> 
	and Green and Martin (2017) <https://christopherggreen.github.io/papers/hr05_extension.pdf>.
	See also Chapter 2 of Green (2017) <https://digital.lib.washington.edu/researchworks/handle/1773/40304>.

Provides several functions to identify and analyse miRNA sponge, including
             popular methods for identifying miRNA sponge interactions, two types 
             of global ceRNA regulation prediction methods and four types of context-specific 
             prediction methods( Li Y et al.(2017) <doi:10.1093/bib/bbx137>), which are based 
             on miRNA-messenger RNA regulation alone, or by integrating heterogeneous data, 
             respectively. In addition, For predictive ceRNA relationship pairs, this package 
             provides several downstream analysis algorithms, including regulatory network 
             analysis and functional annotation analysis, as well as survival prognosis analysis
             based on expression of ceRNA ternary pair.

Compute the certainty equivalents and premium risks
              as tools for risk-efficiency analysis. For more technical information, please refer to: Hardaker, Richardson, Lien, & Schumann (2004) <doi:10.1111/j.1467-8489.2004.00239.x>, and Richardson, & Outlaw (2008) <doi:10.2495/RISK080231>.

Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>)
    machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models,
    allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and
    tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an
    R Markdown document and rendered in various output formats.