High-level performance results in simulations

Analyses of a grid (over R, k, and number of chains) of datasets. Point (posterior median, maximum likelihood) and interval (95% credible interval, 95% confidence interval) estimates from both Bayesian and maximum likelihood analyses.

data(sim_based_testing)

Format

data.frame with true values and estimates.

index

Simulation index for replicate simulations with shared (R, k, n_chains).

n_chains

The number of chains in the simulated dataset.

r_true

The true simulating value of R.

k_true

The true simulating value of k.

r_point

The posterior median or maximum likelihood value of R.

k_point

The posterior median or maximum likelihood value of k.

r_low

The lower bound of a 95% credible of confidence interval for R.

r_high

The upper bound of a 95% credible of confidence interval for R.

k_low

The lower bound of a 95% credible of confidence interval for k.

k_high

The upper bound of a 95% credible of confidence interval for k.

estimator

Type of analysis, bayes (Bayesian) or maxlik (maximum likelihood).

Source

Generated in R using nbbp.

Examples

if (FALSE) { # \dontrun{
data(sbc_quants)
plot(sim_based_testing$r_true, sim_based_testing$r_point)
abline(a = 0, b = 1)
} # }