Run Random-Intercept versus Random-Slope Sensitivity

Run Random-Intercept versus Random-Slope Sensitivity

Usage

run_random_slope_sensitivity(
  plan,
  backend = c("rstan", "cmdstanr"),
  chains = 4L,
  iter = 2000L,
  warmup = 1000L,
  cores = 1L,
  seed = 1L,
  adapt_delta = 0.95,
  max_treedepth = 12L,
  refresh = 0L,
  ndraws = NULL,
  retain_fits = FALSE
)

Arguments

plan

A random-slope sensitivity plan.

backend

"rstan" or "cmdstanr".

chains, iter, warmup, cores, seed, adapt_delta, max_treedepth, refresh

Restricted sampling controls.

ndraws

Optional number of draws used for each estimand.

retain_fits

Whether fitted objects are retained.

Value

A gp3bayes_random_slope_sensitivity.