The desirable Dietary Pattern (DDP)/ PPH score
  measures the variety of food consumption. The (weighted) score is calculated 
  based on the type of food. This package is intended to calculate
  the DDP/ PPH score that is faster than traditional method via 
  a manual calculation by BKP (2017) <http://bkp.pertanian.go.id/storage/app/uploads/public/5bf/ca9/06b/5bfca906bc654274163456.pdf> and is simpler than the nutrition survey 
  <http://www.nutrisurvey.de>. The database to create weights and baseline values
  is the Indonesia national survey in 2017.

Efficient procedures for fitting the DD-PCA (Ke et al., 2019, <arXiv:1906.00051>)  by decomposing a large covariance matrix into a low-rank matrix plus a diagonally dominant matrix. The implementation of DD-PCA includes the convex approach using the Alternating Direction Method of Multipliers (ADMM) and the non-convex approach using the iterative projection algorithm. Applications of DD-PCA to large covariance matrix estimation and global multiple testing are also included in this package.

An interface to explore, analyze, and visualize droplet digital PCR
    (ddPCR) data in R. This is the first non-proprietary software for analyzing
    two-channel ddPCR data. An interactive tool was also created and is available
    online to facilitate this analysis for anyone who is not comfortable with
    using R.

Create 'D3' based 'SVG' ('Scalable Vector Graphics') graphics using a simple 'R' API. 
    The package aims to simplify
    the creation of many 'SVG' plot types using a straightforward 'R' API.  
    The package relies on the 'r2d3' 'R' package and the 'D3' 'JavaScript' library. 
    See <https://rstudio.github.io/r2d3/> and <https://d3js.org/> respectively.

A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.