Performs cluster analysis using an ensemble clustering
    framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>.
    Results from a diverse set of algorithms are pooled together using
    methods such as majority voting, K-Modes, LinkCluE, and CSPA. There
    are options to compare cluster assignments across algorithms using
    internal and external indices, visualizations such as heatmaps, and
    significance testing for the existence of clusters.

We provide an R implementation of Deep Significance Clustering (DICE), a self-supervised learning framework designed to identify clinically meaningful and risk-stratified patient subgroups from electronic health record (EHR) data. DICE jointly optimizes deep representation learning, clustering, and outcome prediction while enforcing statistical significance between predicted outcomes and cluster membership. This integrated optimization produces subgroups that are both clinically coherent and predictive, addressing a gap where traditional unsupervised clustering methods and supervised risk prediction models alone may fail to generate actionable clinical groupings. See Huang et al. (2021) <doi:10.1093/jamia/ocab203>.

View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.

Collapse red-green or green-blue distinctions to simulate the effects of different types of color-blindness
             based on the work of Françoise Viénot and co-authors, especially <doi:10.1038/376127a0> and <doi:10.1364/josaa.14.002647>.
             More recent functions for simulating color vision deficiency are provided in the 'colorspace' package.

This function provides an interface between 'Matlab' and 'R' in facilitating fast processing for reading and saving DICOM images.

A key-value dictionary data structure based on R6 class which is designed to be similar usages with other languages dictionary (e.g. 'Python') with reference semantics and extendabilities by R6.

An R interface to the 'Free Dictionary API' 
    <https://dictionaryapi.dev/>, 
    <https://github.com/meetDeveloper/freeDictionaryAPI>. Retrieve
    dictionary definitions for English words, as well 
    as additional information including phonetics, part of speech, origins, 
    audio pronunciation, example usage, synonyms and antonyms, returned in 
    'tidy' format for ease of use.