Description

In this episode, I assessed applications for AI-generated synthetic data, read up on the radical R tutorial rflow, and stepped into the ‘multiverse’ package to manage reporting on many different statistical analyses.

References:

• Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India
• The risk of bias in denoising methods: Examples from neuroimaging
• Bayesian model averaging for nonparametric discontinuity design
• AI-generated Synthetic Data, easy and fast access to high quality data?
• Use functions in a WHERE statement to filter observations
• Cronbach’s Alpha: Definition, Calculations & Example
• Updated Comparison of R Graphical User Interfaces
• A Major Contribution to Learning R

R-packages:

• multiverse: 'Explorable Multiverse' Data Analysis and Reports