summarise_posterior_parameters: Summarise posterior parameter distributions

In eam: Evidence Accumulation Models

Summarise posterior parameter distributions

Description

Compute summary statistics (mean, median, confidence intervals) for posterior parameters from ABC results.

Usage

summarise_posterior_parameters(data, ...)

## S3 method for class 'abc'
summarise_posterior_parameters(data, ..., ci_level = 0.95)

## S3 method for class 'eam_abi_posterior_samples'
summarise_posterior_parameters(data, ..., ci_level = 0.95)

Arguments

data	An eam_abi_posterior_samples object (tibble) containing posterior samples with columns dataset_id and parameter columns.
...	Additional arguments for custom summary functions. Functions passed as named arguments will be applied to each parameter's posterior samples.
ci_level	Numeric; confidence interval level (default: 0.95).

Value

A data frame with summary statistics for each parameter.

See Also

summarise_posterior_parameters.abc, summarise_posterior_parameters.eam_abi_posterior_samples

Examples

# Load ABC output from saved file
abc_file <- system.file(
  "extdata", "rdm_minimal", "abc", "abc_rejection_model.rds",
  package = "eam"
)
abc_rejection_model <- readRDS(abc_file)

# Summarise posterior distributions
summarise_posterior_parameters(abc_rejection_model)

# Custom confidence interval level
summarise_posterior_parameters(abc_rejection_model, ci_level = 0.90)

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