Episode 6: Mixes and Metabolomics

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'