method.FMA: Fixed Effects Meta-Analysis Method

In PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods

Fixed Effects Meta-Analysis Method

Description

Implements the publication bias-unadjusted fixed effects meta-analysis.

Usage

## S3 method for class 'FMA'
method(method_name, data, settings)

Arguments

method_name	Method name (automatically passed)
data	Data frame with yi (effect sizes) and sei (standard errors)
settings	List of method settings (see Details)

Details

The following settings are implemented

"default"

T-distribution adjustment (test = "t") and cluster robust standard errors with small-sample adjustment (if converged, otherwise no small-sample adjustment or no cluster robust standard errors) for fixed effects meta-analysis if study_ids is specified in the data

Value

Data frame with FMA results

Author(s)

František Bartoš [e-mail]

References

\insertAllCited

Examples

# Generate some example data
data <- data.frame(
  yi = c(0.2, 0.3, 0.1, 0.4, 0.25),
  sei = c(0.1, 0.15, 0.08, 0.12, 0.09)
)

# Apply FMA method
result <- run_method("FMA", data)
print(result)

PublicationBiasBenchmark documentation built on March 16, 2026, 5:07 p.m.