Description

In this episode, I clued in on the claims that Linear Programming Discriminant analysis is effective, mused on the methods of PROC SQL in SAS, and fired up a virtual machine to use for package ‘vmr’.

References:

• moreThanANOVA: A user-friendly Shiny/R application for exploring and comparing data with interactive visualization
• LPDA: A new classification method based on linear programming
• Speedups in operations with regular expressions
• Why learn SQL?
• Correlated Errors in Confirmatory Factor Analysis
• Network Graphs in R
• vmrPoster

R-packages:

• htmldf: Simple   Scraping and Tidy Webpage Summaries
• gpboost: Combining   Tree-Boosting with Gaussian Process and Mixed Effects Models
• vmr: Virtual   Machines for R