hb_metrics {historicalborrow} | R Documentation |
Legacy function to calculate borrowing metrics
Description
Legacy function to calculate
historical borrowing metrics using
summary output from a fitted borrowing model and
analogous summaries from the benchmark models.
We recommend hb_ess()
instead of hb_metrics()
.
See the methods vignette in the package for details.
Usage
hb_metrics(borrow, pool, independent)
Arguments
borrow |
A data frame returned by |
pool |
A data frame returned by |
independent |
A data frame returned by |
Value
A data frame with borrowing metrics.
Examples
if (!identical(Sys.getenv("HB_TEST", unset = ""), "")) {
data <- hb_sim_independent(n_continuous = 2)$data
mcmc_borrow <- hb_mcmc_hierarchical(
data,
n_chains = 1,
n_adapt = 100,
n_warmup = 100,
n_iterations = 200
)
mcmc_pool <- hb_mcmc_pool(
data,
n_chains = 1,
n_adapt = 100,
n_warmup = 50,
n_iterations = 50
)
mcmc_independent <- hb_mcmc_independent(
data,
n_chains = 1,
n_adapt = 100,
n_warmup = 50,
n_iterations = 50
)
borrow <- hb_summary(mcmc_borrow, data)
pool <- hb_summary(mcmc_pool, data)
independent <- hb_summary(mcmc_independent, data)
hb_metrics(
borrow = borrow,
pool = pool,
independent = independent
)
}
[Package historicalborrow version 1.1.0 Index]