abc_posterior_bootstrap: Bootstrap resample ABC posterior samples

In eam: Evidence Accumulation Models

Bootstrap resample ABC posterior samples

Description

Bootstrap resample ABC posterior samples

Usage

abc_posterior_bootstrap(abc_result, n_samples, replace = TRUE)

Arguments

abc_result	An abc object from abc
n_samples	Number of bootstrap samples to draw (default 1000)
replace	Logical, whether to sample with replacement (default TRUE)

Value

Data frame of bootstrapped parameter values

Examples

# Load an example abc output, you should generate it by applying ABC to your data
# check abc_abc for details on fitting ABC models
rdm_minimal_example <- system.file("extdata", "rdm_minimal", package = "eam")
abc_model <- readRDS(file.path(rdm_minimal_example, "abc", "abc_neuralnet_model.rds"))

# Bootstrap resample posterior parameters
posterior_params <- abc_posterior_bootstrap(
  abc_model,
  n_samples = 100
)

# View the first few rows of the bootstrapped posterior parameters
head(posterior_params)

eam documentation built on March 29, 2026, 5:07 p.m.