Performs sensitivity analysis across different correlation structures
run_sensitivity_analysis(
correlation_grid = c(0.2, 0.6),
n_sims_per_setting = 3,
base_params = list(dist_covariates_x = c("normal", "poisson", "binomial"),
dist_covariates_y = c("normal", "poisson", "binomial"), dist_y = "poisson",
x_intercepts = c(4, -1, -1), y_intercepts = c(4, -1, -1), beta0_y = -1, beta_x =
c(-0.03, 0.1, -0.2), beta_y = c(0.03, -0.1, 0.2)),
mcmc_params = list(niter = 50000, nburnin = 30000, thin = 10, nchains = 2),
model_code,
base_seed = 123,
output_dir = NULL
)List with combined results, summary statistics, and output directory
Vector of correlation values to test
Number of simulations per correlation setting
List of base simulation parameters
List of MCMC parameters
NIMBLE model code
Base random seed
Output directory for results (default: NULL, uses tempdir())