vignettes/sbc/REAMDE.md

In brms.mmrm: Bayesian MMRMs using 'brms'

Simulation-based calibration of brms.mmrm

This subdirectory contains materials for a simulation-based calibration (SBC) study to validate the implementation of the MMRM modeling code in brms.mmrm. The overall approach follows the overall technique described at https://docs.ropensci.org/stantargets/articles/simulation.html#simulation-based-calibration.

Usage

The SBC pipeline is implemented with targets using a Sun Grid Engine (SGE) cluster. It runs with a simple tar_make(), and computation takes several hours to complete.

library(targets)
tar_make()

For more information on targets, please visit https://docs.ropensci.org/targets/. To learn how to configure resources or switch to a computing platform, please visit https://books.ropensci.org/targets/crew.html.

Sources

• Kim, S., Moon, H., Modrák, M., and Säilynoja, T. (2022), SBC: Simulation based calibration for rstan/cmdstanr models.
• Modrák, M., Moon, A. H., Kim, S., Bürkner, P., Huurre, N., Faltejsková, K., Gelman, A., and Vehtari, A. (2024), “Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity,” Bayesian Analysis, forthcoming. https://doi.org/10.1214/23-BA1404.

brms.mmrm documentation built on Oct. 3, 2024, 1:08 a.m.