Variability Analysis in R
Calculates an empirical p-value based on the data
Estimate the parameters for a Gamma distribution
Wrapper for the stan function to parallelize chains
Calculates summaries for a parameter
nice formatting for p-values
Estimates the parameters of a Gamma distribution from SDs
Simulate a Gamma Variability Model
Calculate Initial Values for Stan VM Model
Variablity Analysis using a Bayesian Variability Model (VM)
Variability Measures
Plot diagnostics from a VM model
Create a Stan class VM object
Plot the posterior distributions of the focal parameters from a VM mod...
Uses a Bayesian model to estimate the variability in a repeated measure outcome and use that as an outcome or a predictor in a second stage model.