Variability Analysis in R

Documentation for package ‘varian’ version 0.2.2

varian-package	Variablity Analysis using a Bayesian Variability Model (VM)
by_id	Variability Measures
empirical_pvalue	Calculates an empirical p-value based on the data
gamma_params	Estimate the parameters for a Gamma distribution
parallel_stan	Wrapper for the stan function to parallelize chains
param_summary	Calculates summaries for a parameter
pval_smartformat	nice formatting for p-values
res_gamma	Estimates the parameters of a Gamma distribution from SDs
rmssd	Variability Measures
rmssd_id	Variability Measures
rolling_diff	Variability Measures
rolling_diff_id	Variability Measures
sd_id	Variability Measures
simulate_gvm	Simulate a Gamma Variability Model
stan_inits	Calculate Initial Values for Stan VM Model
Variability_Measures	Variability Measures
varian	Variablity Analysis using a Bayesian Variability Model (VM)
vmp_plot	Plot the posterior distributions of the focal parameters from a VM model
vm_diagnostics	Plot diagnostics from a VM model
vm_stan	Create a Stan class VM object