Description

In this episode, I dig into the first articles of a new Journal of Statistical Software volume, try not to mix up package ‘nvmix’ with ‘nmix’, scratch my head over Navier-Stokes equations, and take the random R-package section in a metabolomics direction.

References:

• Journal of Statistical Software Volume 102
• Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations
• Simulate the null distribution for a hypothesis test
• Nmix package - Bayesian inference about univariate Gaussian mixtures with an unknown number of components
• What is Power in Statistics?
• Member Training: Introduction to SPSS Software Tutorial
• Announcing R/Medicine 2022!
• New Workshops Series Kick-off
• Little useless-useful R functions – Animating datasets
• March: “Top 40” New CRAN Packages
• An introduction to the metabolomicsR

R   packages:

• arthistory:  Art History Textbook Data
• nls2:  Non-Linear Regression with Brute Force
• metabolomicsR:  Tools for Metabolomics Data
• conductor:  Create Tours in 'Shiny' Apps Using 'Shepherd.js'