Minimal and memory efficient implementation of the junction tree
	     algorithm using the Lauritzen-Spiegelhalter scheme;
	     S. L. Lauritzen and D. J. Spiegelhalter (1988) 
	     <https://www.jstor.org/stable/2345762?seq=1>.

This is a collection of tools for more efficiently understanding 
  and sharing the results of (primarily) regression analyses. There are also a
  number of miscellaneous functions for statistical and programming purposes. 
  Support for models produced by the survey and lme4 packages are points of 
  emphasis.

A long-term forecast model called "Jubilee-Tectonic model" is implemented to forecast future returns of the U.S. stock market, Treasury yield, and gold price. The five-factor model forecasts the 10-year and 20-year future equity returns with high R-squared above 80 percent. It is based on linear growth and mean reversion characteristics in the U.S. stock market. This model also enhances the CAPE model by introducing the hypothesis that there are fault lines in the historical CAPE, which can be calibrated and corrected through statistical learning. In addition, it contains a module for business cycles, optimal interest rate, and recession forecasts.

A convenience tool to create 'HTML' with inline styles using 
  'juicyjuice' and 'markdown' packages. It is particularly useful when working 
  on a content management system (CMS) whose code editor eliminates style and 
  link tags. The main use case of the package is the learning management system, 
  'Moodle'. Additional helper functions for teaching purposes are provided. Learn 
  more about 'juicedown' at <https://kenjisato.github.io/juicedown/>.

Provides a GUI interface for automating data extraction from 
  multiple images containing scatter and bar plots, semi-automated tools to tinker 
  with extraction attempts, and a fully-loaded point-and-click manual extractor 
  with image zoom, calibrator, and classifier. Also provides detailed and 
  R-independent extraction reports as fully-embedded .html records.