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Listen "Episode 6: Mixes and Metabolomics"
Episode Synopsis
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'
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'
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