Description

In this episode, I dived into non-normal distributions, went from rags to ridges, rode the Python Language Summit lightning, and looked at the ‘GenericML’ package.

References:

• Covsim: An R package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
• Rags2ridges: A One-stop-L2-shop for Graphical Modeling of High-Dimensional Precision Matrices
• Transmissibility in Interactive Nanocomposite Diffusion: The Nonlinear Double-Diffusion Model
• Editorial: Modelling collective motion across scales
• The Application of the Functional Variable Method for Solving the Loaded Nonlinear Evaluation Equations
• The derivative of the determinant of a matrix
• Python 3.11.0b1 is now available
• The 2022 Python Language Summit: Upstreaming optimisations from Cinder
• The 2022 Python Language Summit: Performance Improvements by the Faster CPython team
• The 2022 Python Language Summit: Python in the browser
• The 2022 Python Language Summit: A per-interpreter GIL
• The 2022 Python Language Summit: Achieving immortality
• Fiducial Inference: Fisher’s Great Failure
• Beta Distribution: Uses, Parameters & Examples
• Geometric Distribution: Uses, Calculator & Formula
• Alignment cheatsheet
• 5 Key Data Visualization Principles Explained – Examples in R
• Three packages that port the tidyverse to Python
• How to embed a Shiny app into your blog posts

R  packages:

• biogeom: Biological Geometries
• GenericML: Generic Machine Learning Inference
• PMA2:  Penalized Multivariate Analysis