Add glossaries to markdown and quarto documents by tagging individual words. Definitions can be provided inline or in a separate file.

Read examples with interlinear glosses from files
    or from text and print them in a way compatible with both
    Latex and HTML outputs.

Streamlined workflows for geolinguistic analysis, including:
    accessing global linguistic and cultural databases, data import, data
    entry, data cleaning, data exploration, mapping, visualization and
    export.

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.