method: Method Method

Description

S3 Method for defining methods. See run_method() for usage and further details.

Usage

method(method_name, data, settings)

Value

A data frame with method results following the structure described in the Output Structure section. This is an S3 generic method that dispatches to specific method implementations based on method_name.

Arguments

method_name: Character string specifying the method type
data: Data frame containing yi (effect sizes) and sei (standard errors)
settings: Either a character identifying a method version or list containing method-specific settings. An emty input will result in running the default (first implemented) version of the method.

Output Structure

The returned data frame follows a standardized schema that downstream functions rely on. All methods return the following columns:

method (character): The name of the method used.
estimate (numeric): The meta-analytic effect size estimate.
standard_error (numeric): Standard error of the estimate.
ci_lower (numeric): Lower bound of the 95% confidence interval.
ci_upper (numeric): Upper bound of the 95% confidence interval.
p_value (numeric): P-value for the estimate.
BF (numeric): Bayes Factor for the estimate.
convergence (logical): Whether the method converged successfully.
note (character): Additional notes describing convergence issues.

Some methods may include additional method-specific columns beyond these standard columns. Use get_method_extra_columns() to query which additional columns a particular method returns.

Examples

Run this code


data <- data.frame(
  yi = c(0.2, 0.3, 0.1, 0.4),
  sei = c(0.1, 0.15, 0.08, 0.12)
)
result <- run_method("RMA", data, "default")