Description

In this episode, I jump into Julia packages, estimate how to pronounce the generalized Kibria-Lukman estimator, commiserate with Python, and showcase the R-package ‘rsconnect’.

References:

• Generalized Kibria-Lukman Estimator: Method, Simulation, and Application
• Trending Julia Packages
• Use a heat map to visualize an ordinal response in longitudinal data
• The McNemar test in SAS
• Happy Birthday Neyman: What was Neyman opposing when he opposed the ‘Inferential’ Probabilists? Your weekend Phil Stat reading
• How to Interpret Adjusted R-Squared and Predicted R-Squared in Regression Analysis
• Three Principles of Experimental Designs
• MLDataR – Real-world Datasets for Machine Learning Applications
• Getting started with Python using R and reticulate
• Text Analysis of Job Descriptions for Data Scientists, Data Engineers, Machine Learning Engineers and Data Analysts

R-packages:

• bookdown: Authoring Books and Technical Documents with R Markdown
• rconfig: Manage R Configuration at the Command Line
• BayesPPD:  Bayesian Power Prior Design
• spatialreg: Spatial Regression Analysis
• pagoda2: Single Cell Analysis and Differential Expression
• microeco: Microbial Community Ecology Data Analysis
• paletteknife: Create Colour Scales and Legend from Continuous or Categorical Vectors
• starter: Starter Kit for New Projects
• rsconnect: Deployment Interface for R Markdown Documents and Shiny Applications