Individual Variance Detection
Build and compile NIMBLE model and MCMC once This function is exported...
Traceplot from the coda package
Use fast Fourier transform to compute ACF
Extract samples to mcmc object
Print helper - Return new line(s).
Helper to check for suggested package
Filter coda object
Main function to set up and run parallel MCMC using nimble and future....
Plot method for ivd objects
Define data from formula
Run MCMC on an already compiled model Exposed but internal function fo...
Summary of posterior samples
Fit mixed-effects location scale models with spike-and-slab priors on the location random effects to identify units with unusual residual variances. The method is described in detail in Carmo, Williams and Rast (2025) <https://osf.io/sh6ne>.