aggregate_boot_ML: Aggregate bootstrapped ML estimates

In emery: Accuracy Statistic Estimation for Imperfect Gold Standards

Aggregate bootstrapped ML estimates

Description

aggregate_boot_ML() rearranges the bootstrap results from boot_ML() by statistic instead of bootstrap iteration.

Usage

aggregate_boot_ML(boot_ML_result = NULL)

Arguments

boot_ML_result

a list returned by bootML().

Value

a named list of long format data frames containing aggregated statistic estimates.

boot_id	index of bootstrap sample which resulted in value
col_id	value identifier
row_id	optional value identifier used when the result has more than 1 dimension
value	statistic value

Examples

# Set seed for this example
set.seed(11001101)

# Generate data for 4 binary methods
my_sim <- generate_multimethod_data(
  "binary",
  n_obs = 75,
  n_method = 4,
  se = c(0.87, 0.92, 0.79, 0.95),
  sp = c(0.85, 0.93, 0.94, 0.80),
  method_names = c("alpha", "beta", "gamma", "delta"))

# Bootstrap ML results
boot_ex <- boot_ML(
  "binary",
  data = my_sim$generated_data,
  n_boot = 20)

# Aggregate Bootstrap ML results by statistic
aggregate_boot_ML(boot_ex)

# Plot Bootstrap ML estimate distributions
plot(boot_ex)

emery documentation built on June 9, 2025, 5:09 p.m.