Provides residual global fit indices for generalized latent variable models.

A 'ggplot2'-native plotting engine for drawing reproducible beautiful
    Symbol Nomenclature for Glycans (SNFG) glycan cartoons from glycan structure
    objects or text notations, with support for batch export, structural
    highlighting, and deep appearance customization. It follows the SNFG
    specification described at <https://www.ncbi.nlm.nih.gov/glycans/snfg.html>.

Provides functions to parse glycan structure text representations
    into 'glyrepr' glycan structures. Currently, it supports StrucGP-style,
    pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact,
    WURCS, LINUCS, Linear Code, GlycoCT, and KCF format. It also provides an automatic parser
    to detect the format and parse the structure string.

A modern visualization grammar that treats interactivity, animation,
    and composable layouts as first-class concepts rather than afterthoughts.
    Designed to address key limitations of existing grammars: native hover, click,
    and zoom events, 'WebGL'-accelerated rendering for large datasets, built-in
    multi-plot composition, and a token-based theming system. Renders to
    interactive HTML widgets via 'D3.js' or static SVG from a single
    declarative specification.

Computational representations of glycan compositions and structures,
    including details such as linkages, anomers, and substituents. Supports varying
    levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages.
    Provides robust parsing and generation of IUPAC-condensed structure strings.
    Optimized for vectorized operations on glycan structures, with efficient handling
    of duplications. As the cornerstone of the glycoverse ecosystem, this package
    delivers the foundational data structures that power glycomics and glycoproteomics
    analysis workflows.

Provides a simple and intuitive high-level language for music
    representation. Generates and embeds music scores and audio files in
    'RStudio', 'R Markdown' documents, and R 'Jupyter Notebooks'.
    Internally, uses 'MusicXML' <https://github.com/w3c/musicxml> to represent
    music, and 'MuseScore' <https://musescore.org/> to convert 'MusicXML'.