Stage1: Calculate balancing weights with method routing

In WMAP: Weighted Meta-Analysis with Pseudo-Populations

Calculate balancing weights with method routing

Description

Compute balancing weights using IC, IGO, or FLEXOR methods.

Usage

Stage1(
  data,
  parm,
  method,
  flexorFlag,
  num.random,
  naturalGroupProp,
  gammaMin,
  gammaMax,
  verbose
)

Arguments

data	Structured data list from fn.createListData()
parm	Parameter list with propensity scores from fn.Estimate_mgPS()
method	Chracter string: "IC", "IGO", or "FLEXOR"
flexorFlag	Logical indicating if FLEXOR is selected
num.random	Number of random gamma starting points for FLEXOR
naturalGroupProp	Probability vector theta for FLEXOR
gammaMin	Lower bound for gamma parameters (FLEXOR only)
gammaMax	Upper bound for gamma parameters (FLEXOR only)
verbose	Logical; if TRUE, display FLEXOR progress messages

Value

List with two elements:

• return.parm - Updated parameter list with weights and ESS

• percentESS - Percentage effective sample size

WMAP documentation built on Oct. 6, 2026, 1:07 a.m.