R: Variability Analysis in R

# Variability Analysis in R

## Documentation for package ‘varian’ version 0.2.2

- DESCRIPTION file
- Package README

## Help Pages

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