object: object of class SRE returned from the constructor SRE() containing all the parameters and information on the SRE model
percentiles: (applicable only if method = "TMB") a vector of scalars in (0, 100) specifying the desired percentiles of the posterior predictive distribution; if NULL, no percentiles are computed
nsim: number of Monte Carlo samples used to compute the confidence intervals
random_effects: logical; if set to true, confidence intervals will also be provided for the random effects random effects (see ?SRE for details on these random effects)