method.WLS: WLS (Weighted Least Squares) Method

In PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods

WLS (Weighted Least Squares) Method

Description

Implements the Weighted Least Squares method for meta-analysis. WLS fits a weighted regression model with effect sizes as the outcome and weights based on the inverse of the squared standard errors. The intercept represents the weighted average effect size estimate.

Usage

## S3 method for class 'WLS'
method(method_name, data, settings = NULL)

Arguments

method_name	Method name (automatically passed)
data	Data frame with yi (effect sizes) and sei (standard errors)
settings	List of method settings (no settings version are implemented)

Value

Data frame with WLS 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 WLS method
result <- run_method("WLS", data)
print(result)

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