Make complex, interactive heatmaps. 'iheatmapr' includes a modular 
    system for iteratively building up complex heatmaps, as well as the 
    iheatmap() function for making relatively standard heatmaps.

A set of tools for writing documents
    according to Geneva Graduate Institute conventions and regulations.
    The most common use is for writing and compiling theses or thesis
    chapters, as drafts or for examination with correct preamble formatting. 
    However, the package also offers users to create HTML presentation
    slides with 'xaringan', complete problem sets, format posters, and, 
    for course instructors, prepare a syllabus.
    The package includes additional functions for institutional color palettes,
    an institutional 'ggplot' theme, a function for counting manuscript words,
    and a bibliographical analysis toolkit.

Web scraping the <https://www.dallasfed.org> for
    up-to-date data on international house prices and exuberance
    indicators. Download data in tidy format.

Simulate an inhomogeneous self-exciting process (IHSEP), or Hawkes process, with a given (possibly time-varying) baseline intensity and an excitation function. Calculate the likelihood of an IHSEP with given baseline intensity and excitation functions for an (increasing) sequence of event times. Calculate the point process residuals (integral transforms of the original event times). Calculate the mean intensity process.

A novel machine learning method for plant viruses diagnostic using 
    genome sequencing data. This package includes three different machine 
    learning models, random forest, XGBoost, and elastic net, to train and 
    predict mapped genome samples. Mappability profile and unreliable regions 
    are introduced to the algorithm, and users can build a mappability profile 
    from scratch with functions included in the package. Plotting mapped sample 
    coverage information is provided.

Computes individual contributions to the overall Gini and 
    Theil's T and Theil's L measures and their decompositions by groups 
    such as race, gender, national origin, with the three functions of 
    iGini(), iTheiT(), and iTheilL(). For details, see Tim F. Liao (2019)
    <doi:10.1177/0049124119875961>.