Density, distribution function, quantile function and random generation for the 3D Navarro, Frenk & White (NFW) profile. For details see Robotham & Howlett (2018) <arXiv:1805.09550>.

Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.

Posterior distribution of case-control fine-mapping. Specifically, Bayesian variable selection for single-nucleotide polymorphism (SNP) data using the normal-gamma prior. Alenazi A.A., Cox A., Juarez M,. Lin W-Y. and Walters, K. (2019) Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies, Genetic Epidemiology. <doi:10.1002/gepi.22213>.

Next-Generation Clustered Heat Maps (NG-CHMs) allow for
    dynamic exploration of heat map data in a web browser. 'NGCHM' allows
    users to create both stand-alone HTML files containing a
    Next-Generation Clustered Heat Map, and .ngchm files to view in the
    NG-CHM viewer. See Ryan MC, Stucky M, et al (2020)
    <doi:10.12688/f1000research.20590.2> for more details.

Provides an 'htmlwidgets' <https://www.htmlwidgets.org/> interface to 'NGL.js' <http://nglviewer.org/ngl/api/>.
    'NGLvieweR' can be used to visualize and interact with protein databank ('PDB') and structural files in R and Shiny applications.
    It includes a set of API functions to manipulate the viewer after creation in Shiny.

An n-gram is a sequence of n "words" taken, in order, from a
    body of text.  This is a collection of utilities for creating,
    displaying, summarizing, and "babbling" n-grams.  The
    'tokenization' and "babbling" are handled by very efficient C
    code, which can even be built as its own standalone library.
    The babbler is a simple Markov chain.  The package also offers
    a vignette with complete example 'workflows' and information about
    the utilities offered in the package.

Retrieve and plot word frequencies through time from the "Google
    Ngram Viewer" <https://books.google.com/ngrams>.