Ease the transition between R vectors and markdown text. With
    'gluedown' and 'rmarkdown', users can create traditional vectors in R,
    glue those strings together with the markdown syntax, and print those
    formatted vectors directly to the document. This package primarily
    uses GitHub Flavored Markdown (GFM), an offshoot of the unambiguous
    CommonMark specification by John MacFarlane (2019)
    <https://spec.commonmark.org/>.

Provides residual global fit indices for generalized latent variable models.

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'.

Performs genomic mediation
    analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/078683>. It implements large scale
    mediation analysis and adaptively selects potential confounding variables to
    adjust for each mediation test from a pool of candidate confounders. The package
    is tailored for but not limited to genomic mediation analysis (e.g., cis-gene
    mediating trans-gene regulation pattern where an eQTL, its cis-linking gene
    transcript, and its trans-gene transcript play the roles as treatment, mediator
    and the outcome, respectively), restricting to scenarios with the presence of
    cis-association (i.e., treatment-mediator association) and random eQTL (i.e.,
    treatment).