fn.loop: Iterative optimization loop for FLEXOR

In WMAP: Weighted Meta-Analysis with Pseudo-Populations

Iterative optimization loop for FLEXOR

Description

Iterative optimization loop for FLEXOR

Usage

fn.loop(
  start_theta_z,
  start_gamma_s,
  data,
  parm,
  FUN,
  FUN2,
  tol = 0.001,
  optim.maxit = 2,
  loop.maxit = 50
)

Arguments

start_theta_z	Initial group probabilities (fixed during optimization)
start_gamma_s	Initial study probabilities (optimized)
data	Structured data list
parm	Parameter list with propensity scores
FUN	Objective function to minimize (typically fn.ESS_FLEXOR)
FUN2	Weight calculation function (typically fn.Omnibus)
tol	Convergence tolerance for relative ESS change (default: 1e-3)
optim.maxit	Maximum iterations for optim() per loop (default: 2)
loop.maxit	Maximum outer loop iterations (default: 50)

Value

Updated parm with:

• wt.v - Optimized weights

• ESS - Final effective sample size

• gamma_s - Optimized study probabilities

• theta_z - Group probailities (unchanged)

• count - Number of iterations performed

• change - Final relative ESS change

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