Provides a framework for creating plots with glowing points.

R Interface to C API of GLPK, depends on GLPK Version >= 4.42.

Likelihood ratio tests for genome-wide association and genome-wide linkage analysis under heterogeneity.

Performs linear regression with correlated predictors, responses and correlated measurement errors in predictors and responses, correcting for biased caused by these.

An implementation of interpreted string literals, inspired by
    Python's Literal String Interpolation
    <https://www.python.org/dev/peps/pep-0498/> and Docstrings
    <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted
    String Literals
    <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.

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.

Useful utilities in N-glycan data analysis. This package tries
    to fill the gap in N-glycan data analysis by providing easy
    to use functions for basic operations on data
    (see <https://en.wikipedia.org/wiki/Glycomics> for more
    details on Glycomics). At the moment 'glycanr' is mostly oriented
    to data obtained by UPLC (Ultra Performance Liquid Chromatography)
    and LCMS (Liquid chromatography–mass spectrometry)
    analysis of Plasma and IgG glycome.

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'.