PublicationBiasBenchmark (version 0.1.3)

method.WLS: 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 WLS
method(method_name, data, settings = NULL)

Value

Data frame with WLS results

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)

References

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)